Unraveling Computer Vision And Edge AI For The Real World: Recent Episodes

VisAi Labs - Hosted By Alphonse Raj David

In this podcast I will be talking about how to use Embedded computer vision and edge AI in the real world.

I will be sharing what VisAI Labs is currently doing to make real-world applicable practical computer vision applications and also share insights on what it takes to work on edge computing for vision and AI.

To know more connect with us: www.visailabs.com

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In an age of increased online orders, warehouses and order fulfillment centers are still searching for ways to increase productivity, but how can they do so? VisAI Labs

Setting up a tolerable working pattern is now a mammoth undertaking that requires careful attention to several significant and minor factors. As the quantity of online orders grows, some warehouses and order fulfillment centers have difficulty getting products to customers within the stipulated timeframe. Due to the high expectation of one day and the same deliveries, most traditional working prototypes are still a pain for eCommerce businesses. To make warehouse operations run smoothly, we need a thorough awareness of the joint pain areas and the appropriate remedy.

In this logistics insight video series, we give you a clear insight on improving warehouse productivity by providing some efficient ideas.

warehousing #logistics #supplychain #warehouses

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Is it still a pipe dream to develop an effective strategy to improve the supply chain’s functional performance? VisAI Labs

The exponential growth of eCommerce has shifted the gears of online sales. As a result, several supply chain operators have decided to improve their operational efficiency after realizing the relevance of online sales performance. However, to increase efficiency and income, supply chain companies must first grasp supply chain management fundamentals. And it is nothing more than a successful strategy for establishing a proper plan, as well as a performance and quality framework in your workplace.

In this logistics insight series, we discuss the four essential components of effective supply chain management.

warehousing #logistics #supplychain #warehouses

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What is your opinion about traditional working patterns as a viable solution to solving the common warehouse problems? VisAI Labs

In today's world, operating a warehouse efficiently is not so simple as it seems. The key to managing an efficient warehouse is to keep track of areas that can be improved, and this entails monitoring everyday tasks, understanding seasonal product flow, tracking inbound and outbound logistics, monitoring inventory, and paying attention to customer returns and feedback. However, all of these processes can't be managed merely following the conventional working prototype; instead, you need to identify the leading warehouse problems and find a solution that fits the situation better.

In this logistics insight video series, we break down five common warehouse problems and provide you with some solutions to improve warehouse performance effectively.

warehousing #logistics #supplychain #warehouses

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Interested in understanding how dimensional weight is becoming a key factor for eCommerce shippers? VisAI Labs

The one common pitfall all the eCommerce shippers face while transporting the products is inaccurate parcel dimensions on small and mid-size parcel shipments. Today, eCommerce is outgrowing by manifolds, and people have no time to shop products in retail stores; instead, they feel more comfortable buying products online, resulting in colossal online order requests. As a result, several eCommerce companies provide various offers to pull customers to shop through the brands' official portals to take advantage of digital technology.

Furthermore, as the one-day and same-day delivery is gaining traction among the customers, they feel more encouraged to shop for a small number of products whenever possible. However, this action has turned to be a considerable burden for the order fulfillment centers as they need to calculate the dimensional information for small and mid-sized products promptly during the shipment phase, which later turned out to be a leading source of costly carrier back charges.

In this logistics insight video series, we have shed light on you by providing six compelling ways to uplift dimensional weight computations and mitigate carrier back charges effectively.

warehousing #logistics #supplychain #warehouses

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Why is optimizing the volumetric weight of your packages so crucial to lower transportation costs in eCommerce warehouses and distribution centers? VisAI Labs Logistics Insights vLog series - Episode 31

Your customers probably want to have the best shopping experience possible when shopping with you online. This is why several warehouse and logistics centers attempt to expedite delivery of their products so they arrive at their destination promptly. Unfortunately, due to the way carriers measure and bill the volumetric weight, express delivery is often overpriced than standard delivery.

What is the purpose of calculating the volumetric weight of your products? Your packages are typically weighed in volumetric weight by carriers to compare the volumetric weight to their actual weight. The volumetric weight for the e-commerce industry is often the more profitable option for them due to its inherent characteristics.

Our logistics insight video series explains how volumetric weight works and how we can optimize it to save shipping expenses efficiently.

warehousing #logistics #supplychain #warehouses

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Have you ever believed that the future of warehouses is solely dependent on supply chain automation? VisAI Labs

Because of the rise in internet-based shopping, today’s supply chain is growing at an exponential rate. As a result, shipping patterns have shifted from two to same-day delivery. As a result, some eCommerce warehouses and logistics centers scramble to distribute products as quickly as possible within the stipulated timeframe. With this in mind, supply chain owners must remodel operating routines to improve working efficiency. We can quickly scale up the organization’s productivity and market value by automating the supply chain.

In this logistics insight video series, We bridge the ideation gap of how the supply chain is renovating the warehouse and logistics future.

warehousing #logistics #supplychain #warehouses

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Ever wondered why supply chain sectors are in a race to procure automated parcel dimensioning systems to their vertical? VisAI Labs

The necessity for hyper-efficient, high-value warehousing services is multiplying by manifolds with the on-demand economy. One of the most profound lessons learned this year by the corporate world - and the supply chain industry in particular - is that the capacity to pivot and grow fast to respond to changes in demand is critical to success. So, what strategies can warehouses and distribution centers utilize to build resilience?

Deploying automation technology can be the only solution to enable agility and efficiency in the warehouse. In the light of this, various supply chain industries have deployed an automated dimensioning system to calibrate the dimensional details of the products in a jiff as dimensioning plays a pivotal role in the eCommerce sector.

This logistics insight video series explains the role of automated dimensioning systems and how they support the supply chain industries.

warehousing #logistics #supplychain #warehouses

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Can automation still be a pipe dream for eCommerce SMB shippers to boost profitability? VisAI Labs Logistics Insights vLog series - Episode 28

Today the evolution of eCommerce is remolding the supply chain industry. By virtue of this, several warehouses, logistics, and distribution centers are battling to distribute products to the customers’ doorstep on a stipulated timescale. But how will they be able to do so promptly? Several industries are in an early phase to know by sight that automation can be the only solution to accelerate the warehouses’ operational efficiency, productivity, and market value.

In this logistics insight video series, we fill a knowledge vacuum by offering four crucial warehouse automation tools to assist small and medium-sized eCommerce shippers to uplift profitability.

warehousing #logistics #supplychain #warehouses

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Introducing automation into your logistics and supply chain processes can be a game-changing strategy to wipe out traditional working patterns? VisAI Labs

As eCommerce growth spreads out by manifolds, numerous logistics, warehouse, and supply chain professionals believe that automation will be the only way to keep up. However, bringing automation to the workplace is a complex undertaking; there involve various back-end procedures. You need to identify the areas where we can apply advanced technologies like computer vision and robotics to simplify operational efficiencies.

This logistics insight video series provides you with the top five reasons to automate your logistics and supply chain processes adequately.

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Weak inventory can be a great nightmare for warehouse and logistics firms. Figure out why. VisAI Labs

Today, managing inventory is crucial; you need to ensure that the movement of materials, storage efficiency, and other inventory-related processes are well-aligned. Handling inventory may be an intricate task, but it may save you much money if you optimize and streamline it properly. In contrast, to optimize your inventory system, you must analyze the pain points and have a thorough understanding of the system’s performance.

In this logistics insight video series, we show you six innovative strategies to keep your inventory from sinking, utilizing an automated parcel dimensioning system in your warehouse and logistics center.

warehousing #logistics #supplychain #warehouses

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What is the importance of dimensioning in warehouses, and why are eCommerce SMEs so eager to purchase automated dimensioners? VisAI Labs

Today, several countries have seen a significant increase in online purchasing. However, because of the increased number of online orders, warehouses and distribution centers are rushing to complete the fulfillment process. And this is not easily accomplished by using the traditional dimensioning method. Understanding this, several eCommerce SMEs are in a rush to adopt automated parcel dimensioning systems to their workspace to simplify the dimensioning process effectively.

This logistics insight video series aims to explain why eCommerce SME firms should invest in Automated parcel dimensioning systems at order fulfillment centers.

warehousing #logistics #supplychain #warehouses

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Why dimensioning is critical in the warehouse, and why are eCommerce CFOs rush to procure automated dimensioners in their workspace? VisAI Labs

Today, several countries have seen a tremendous rise in online shopping. A shopper simply taps on the “Buy” option and anticipates receiving their products to their doorstep on an estimated period. However, due to increased online orders, warehouse and distribution centers rush to complete the fulfillment process. And this cannot easily be accomplished by following the conventional dimensioning approach. Instead, the warehouse associate utilizes the tape and ruler, and weighing scales to measure and gauge the dimensional and weight information of various size parcels, which can sometimes cause costly errors. By deploying an automated parcel dimensioning system, we can calibrate the dimensional information packages in a jiff.

In this logistics insight video series, we justify How the automated parcel dimensioning solutions help CFOs of eCommerce enterprises.

warehousing #logistics #supplychain #warehouses

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What could go wrong when the product is moving and the warehouse is generating money? VisAI Labs

When a company is going through growing pains, it might feel like everything is moving too quickly. The practice-until-you-perfect-it mindset, which seeks to avoid failure without planning for actual development, is a significant issue for expanding businesses.

Getting a hold and establishing roots with warehouse management processes and key performance indicators helps businesses focus on developing rather than fixing problems.

The first step in determining warehouse efficiency and productivity is evaluating which indicators are most relevant. Using a warehouse management system that analyses critical performance criteria can aid in identifying weak areas in your process and staffing to make adjustments and modify expectations as needed.

In this logistics insight video series, we give you the top 4 methods for effectively measuring warehouse efficacy.

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Never wondered why many warehouses and logistics centers attempt to polish up the Outbound Logistics Process? VisAI Labs

As we’ve seen, the inbound logistics game logistics Insights vLog series - Episode 22 is all about ensuring that your vendors and suppliers keep you pleased. The outbound logistics procedure, on the other hand, is concerned with getting your products to customers. Essentially, you must ensure that your consumers are satisfied with your services. The shipment of finished products from a warehouse or distribution center to clients is known as outbound logistics. It includes choosing, packaging, shipping, and delivering a package as part of the order fulfillment process.

In this AI-enabled logistics insight video series, we highlight some of the top three ways to make outbound logistics more efficient.

warehousing #logistics #supplychain #warehouses

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Have you ever wondered why the majority of warehouse and logistics centers strive to advance the inbound logistics process? VisAI Labs

Supply chain management is frequently chaotic and ineffective, in part due to a lack of understanding. This is surprising because it accounts for a significant portion of business input expenses and may be considerably reduced if inbound and outbound logistic procedures are optimized.

Experts believe inbound logistics to be the final obstacle in lowering transportation costs since it is both complex and vital. Optimizing your inbound logistics process can help you optimize your business operations, but you'll need to have a complete image of every moving part of the network and a thorough understanding of how it operates to do so.

In this AI-enabled logistics insight video series, we highlight some of the ways to boost your inbound logistics process more efficiently.

warehousing #logistics #supplychain #warehouses

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The primary aim of any logistics organization is to deliver the products to the consumer's doorstep on an established timeframe at a minimal cost. Therefore, selecting a successful logistics plan may help your organization avoid unnecessary back charges.   

Because supply chains are constantly changing, many businesses build logistics strategies for specific product lines, geographic regions, or client groups, allowing them to respond to market changes in one region or business line while preserving efficiency in others. Logistics planning reduces risk in a changing environment by helping organizations anticipate change and establish strategies to adapt.  

In this AI-enabled logistics insight video series, we help you determine the top five logistics components to consider to boost your firm’s market value.

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Ever wondered why eCommerce firms consider an automated inventory system as a valuable asset?  

Several eCommerce firms aspire for consistency, effectiveness, and profit in today’s highly competitive business climate, yet time-consuming manual procedures continue to be a hindrance. An automated Inventory system helps optimize the value of your firm, whether you’re a small or a large-scale organization. Despite the fact that E-Commerce is on the rise, warehouses and logistics centers are still unaware of the value of having a smart inventory system in place can do wonders.  

This logistics insight video series discusses the key benefits of an inventory system in logistics and warehouses.

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Automation now provides SMBs with a significant advantage in accelerating productivity and building a cutthroat edge when deployed across multiple streams and wings. Warehouses and logistics are now integrating new technologies such as robotics, artificial intelligence (AI), computer vision, and machine learning as they enter a consolidation period.   

In addition, consumer expectations in e-commerce necessitate new technologies to fulfill last-mile delivery and boost customer experience effectively. According to the supply chain sector, one of the essential methods to do this is to reduce employee dependency and make jobs more accessible and efficient.  

In this AI-enabled logistics insight video, we deliver you the top three reasons why logistics is critical in the supply chain:

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Hassle-free warehouse and logistics would still be a big deal for eCommerce without the automation?  

Today, the growth of AI and eCommerce is expanding by manifold. Several brick and mortar stores have turned online, as there is considerable hype in internet-based shopping services. However, delivering products to the customers’ doorstep on an estimated timeframe has become a nightmare for logistics and warehouse owners as several back-end operations are involved. 

But this cannot easily be achieved by following the traditional working methodology in the warehouse, and this is the phase where the automation comes into the picture.

warehouses #warehouseautomation #logistics #supplychain #supplychainautomation #automation #ecommerce #SMB #automatedparceldimensioningsystem #automateddimensioningsolution #computervision #edgeai #edgecomputing #artificialintelligence #machinelearning #deeplearning #technology #technologytrends #machinelearningalgorithms #supplychainmanagement #logisticsautomation #warehouse #VisAILabs

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Today, warehouses are the heart of eCommerce firms. However, when the warehouses aren’t efficient, they don’t ship or receive the products within an estimated timeframe. As a result, the warehouse associate isn’t as productive as they may be, and your firm loses money and credibility. Understanding this, the warehouse owner must know how to streamline the operations smoothly. 

With the best mix of practices like automating the iterative tasks and deploying the right warehouse technology, we can effectively optimise warehouse operations and last-mile delivery.

warehouses #warehouseautomation #logistics #supplychain #automateddimensioningsystem #automatedparceldimensioningsystem #automateddimensioningsolution #computervision #edgeai #edgecomputing #artificialintelligence #machinelearning #deeplearning #technology #technologytrends #machinelearningalgorithms #supplychainmanagement #logisticsautomation #warehouse

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As online shopping grows in popularity, the eCommerce trend is becoming the new normal. Delivering things on time has become a nightmare for most logistics and warehouse managers nowadays. They must ensure that products delivered to customers’ doorsteps arrive on time and without damage concerns.  

To pick up the efficiency of the warehouses, logistic service providers are increasingly partnering with dimensioning specialists. Warehouses can benefit from dimensioning service in increasing profitability, lowering costs, and augmenting efficacy.

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Is it still true that warehouses and logistics centres are vying to adopt an automated parcel dimensioning system?

Today the rate of online shopping has increased by manifolds and is expected to outgrow several times in the coming days. However, when most people anticipate the same-day or one-day delivery, they have no clue how the logistics and warehouse owners need to rush up the operation to complete the order-fulfilment process in an estimated timeframe. However, adhering to traditional working paradigms would make this problematic, and the organisation needs to figure out which process takes the most time for the warehouse associate to complete.

In the light of this, the term dimensioning plays a paramount role in the warehouse industry, and by following the traditional dimensioning method, we cannot meet the customer demands on time. Understanding this, several logistics and warehouse firms have deployed an automated parcel dimensioning system to effectively calibrate the dimensional details of varied sized pallets and parcels in a jiff.

In this logistics insight video series, we throw light upon 5 ways the automated parcel dimensioning systems gain traction among the warehouse and logistics firms.

#warehouses #warehouseautomation #logistics #supplychain #automateddimensioningsystem #automatedparceldimensioningsystem #automateddimensioningsolution #computervision #edgeai #edgecomputing #artificialintelligence #machinelearning #deeplearning #technology #technologytrends #machinelearningalgorithms #supplychainmanagement #logisticsautomation #warehouse

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Is it still possible to accomplish last-mile deliveries efficiently by sticking to traditional warehouse operating patterns?

With the advent of eCommerce, several industries have now understood that digitalisation is the only route to the future. In the light of this, various logistics and warehouse industries have begun to remodel their working pattern, as online sales are gaining colossal traction worldwide.

However, due to an increase in web-based shopping, logistics and warehouse operators must race to finish their doorstep deliveries. But this is unworkable by following the traditional functionality, which is time-consuming and prone to errors. So the logistics and warehouse sectors should bring in automation to lessen the monotonous or tedious tasks and assign the other exciting tasks to the warehouse associates.

With this logistics insight, we bridge ideation of how we can effectively enhance warehouse operations to complete the order fulfilment process.

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Do you still feel that a conventional supply chain can work for the booming eCommerce industry to generate higher revenue?

A strategic plan is required before you develop an agile supply chain. The strategic plan is nothing but a framework for keeping an operating plan on track to achieve specific workplace goals.

The demand for supply chain operators to improve working patterns and cut expenses in warehouses and logistics centres is growing. For this, they need to zoom in on some pain points that need improvement to increase operational efficiencies.

And this incorporates identifying the time-consuming and iterative activities, tasks that can be automated to perform better, and an area where the maximum amount is spent.

By analyzing and improving these pain areas, we can successfully boost the supply chain in logistics and warehouse firms.

This logistics insight video series presents a compelling hint and factors to keep in mind while constructing a robust supply chain for the logistics and warehouse industry.

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Ever discovered how intricate it would be to build a robust supply chain in the logistics and warehouse industry? Logistics Insights vLog series - Episode 11 from VisAI Labs

In the recent decade, the eCommerce industry has undergone phenomenal transformations. Several brick-and-mortar stores have stepped into the digital platform as there is tremendous hype in online shopping.

To put it in another way, these web-based portals offer a variety of promotions, like flash and clearance sales, as well as free shipping to entice users to take advantage of the digital platform.

However, the hype has pushed several warehouse and logistics owners to complete their fulfilment within a specified deadline, which is impossible to do using traditional working methods.

This logistics insight video series fills a gap providing valuable tips to build a reliable supply chain for logistics and warehouse sectors effectively.

warehousing #logistics #supplychain #warehouses

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Today several firms are forced to rethink the way they construct their supply chain. On top of this, various technologies like computer vision, Edge AI, and artificial intelligence revamps the traditional working pattern in warehouse and logistics, ending in improved customer expectations.

To meet the customer demand, the supply chain needs to embrace automation to reach the next operational effectiveness horizon, leverage emerging digital supply chain business models, and transform the company into a digital supply chain.

This logistics insight video series provides the top five innovative approaches to the future digital supply chain.

supplychain #computervision #logistics #warehousing #artificialintelligence #digitaltransformation #automation

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When most people think about automation, they envision it as a science-fiction scenario in which autonomous robots and vehicles move from one location to another within a warehouse. But, fortunately, autonomous robots, guided vehicles, and drones are already in operation, and the deployment of this automation will be massive in the coming days.

To preserve a competitive advantage in the digital era, businesses must optimise their processes, and supply chain automation empowers you to do just that. In other words, incorporating automation into the supply chain would minimise human labour while improving revenue, accuracy, and reliability.

This logistics insight video series explains how supply chain automation has gained traction in logistics and warehouse firms.

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Traditional warehouse operations are shifting paradigms, starting with logistics through the global supply chain.

Companies are now looking for ways to uplift throughput while improving order accuracy through automated parcel dimensioning systems, materials handling (MH) equipment, high-speed conveyor systems, and robotic applications, such as e-fulfilment centres and centralised warehouses and logistics centres, are becoming more common around the world.

In this logistics insight video series, we overview in what way automation helps warehouse and logistics firms.

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At present, customer satisfaction is dependent on a well-run warehouse and logistics, which ensures timely and prompt delivery. It's as much about common sense and the proper storage equipment as it is about sophisticated selection algorithms to increase warehouse productivity.

Warehouse and logistics personnel must understand how to keep operations moving smoothly. Your company's warehouse and logistics processes can be optimised with the appropriate mix of best practices.

We've examined the top three practical techniques to boost warehouse and logistics operations to speed up last-mile delivery in our logistics insight video series.

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Today's world is witnessing a remarkable increase in the number of internet orders. At present, automated parcel dimensioning systems are gaining popularity in warehouses and distribution centres; because these dimensioners provide 100 per cent correct data and consequently trustworthy billing, they can significantly minimise the need for labour.  

Deploying the automated parcel dimensioning systems provides real-time measurements and weight data to enhance various processes such as carton optimisation, future capacity planning, quality control, and precise dimensioning.  

In this audio series, we explain why warehouse and distribution centres require an automated dimensioning system.

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Today, artificial intelligence has changed the perception of the logistics business by making supply chain management more smooth.   With cognitive automation, AI plays a critical role in saving time, lowering expenses, enhancing productivity, and improving accuracy. It allows us to save time and money by automating various time-consuming operations and assisting with demand forecasts.

In addition, AI aids in logistics route optimisation, which helps to reduce shipping costs, which in turn helps generate more profits.  Logistics companies may use AI to produce datasets and use data platforms to rule trends and anomalies. 

In this audio series, we explain how AI-led solution play a paramount role in logistics. 

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Artificial intelligence and computer vision have radically changed the warehousing and logistics industries today. AI has played a critical part in the industry’s success as a result of the digital revolution.   

The logistics industry’s networked nature lends itself well to adopting AI technologies, increasing efficiency from beginning to finish. These technologies may bring about various changes, including process optimisation, cost reduction, increased productivity, reduced manual errors, and the prediction of future possibilities and difficulties.  

In this logistics insight video series, We explain the role of artificial intelligence and how it benefits the logistics sector. 

#warehouses #warehouseautomation #logistics #supplychain #automateddimensioningsystem #automatedparceldimensioningsystem #automateddimensioningsolution #computervision #edgeai #edgecomputing #artificialintelligence #machinelearning #deeplearning #technology #technologytrends #machinelearningalgorithms #supplychainmanagement #logisticsautomation #warehouse #VisAILabs

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Several warehouse and logistics are striving hard to improve efficiency by streamlining workflows, automating procedures, and minimising the time and resources.   Warehouses and logistics centres have various complicated and iterative tasks, each coinciding. While there are numerous opportunities to enhance productivity, determining where your efforts will pay off can be difficult. 

Warehouse productivity is significantly impacted by advances in logistics technology, such as autonomous robots, innovative AI and machine learning solutions, sophisticated warehouse management software, and other technological solutions.  

This AI-enabled logistics insight audio series provides you with three simple ways to improve shipping efficiencies and profitability in warehouse and logistics.  

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An efficient warehouse is critical for customer satisfaction because it helps ensure quick, accurate shipments. Improving warehouse efficiency is as much about common sense and the proper storage equipment as it is about fancy picking algorithms.  The amount of time, effort, and money you spend getting things into and out of your warehouse is referred to as distribution expenses. The delivery cost is simply one part of the total distribution cost.   

Distribution expenses are influenced by the value of the goods you send, as well as losses due to product expiry or incorrect storage, as well as your facility’s operational expenses. To save shipping expenses, look at all distribution parts and see where you can save money.  

In this audio series, we have provided you with some potential tips to boost shipping efficiencies in your warehouse.  

warehouses #logistics #supplychain #warehouseautomation #logisticsinsight  #automateddimensioningsystem #automatedparceldimensioningsystem #automateddimensioningsolution #computervision #edgeai #edgecomputing #artificialintelligence #machinelearning #deeplearning #technology #technologytrends #machinelearningalgorithms #supplychainmanagement #logisticsautomation #warehouse #VisAILabs

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Due to the rising number of online orders, numerous warehouse owners are rushing to deliver products to customers’ doorsteps. When most people think of warehouse automation, they envision it in the far future.   

However, automation technologies are already in use in today’s sophisticated warehouses and distribution centres. Automation technologies offer enormous potential to assist operations in becoming more efficient, precise, and productive, in addition to just lowering costs.  

Through this audio series, we help you understand how warehouse automation aids business to increase profitability.  

warehouses #warehouseautomation #logistics #supplychain #automateddimensioningsystem #automatedparceldimensioningsystem #automateddimensioningsolution #computervision #edgeai #edgecomputing #artificialintelligence #machinelearning #deeplearning #technology #technologytrends #machinelearningalgorithms #supplychainmanagement #logisticsautomation #warehouse

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One critical section of edge AI-based computer vision products is the development process, which dictates that the product will succeed or fail. This approach comes from five separate phases: selecting the right hardware for development, selecting an existing AI model, training and tuning the model, the proof of concept (POC), and the final product/solution design.

You get a glimpse through this video of how the standard edge AI product development cycle looks like.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing #VisAILabs

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VisAI labs is focused on developing practical Edge AI-focused Computer vision and Machine Learning algorithms successfully. VisAI labs’ is right now building edge-based face recognition to guarantee the privacy and most significant level of granular insights on the individual followed by people tracking to identify, monitor, and recognise people indoors and outdoors by providing improved data protection by delivering inference on edge. VisAI Labs also provides vehicle monitoring algorithms to detect and monitor the vehicle counter and the parking lot.

In this video, you get an insight into How the VisAI platform helps in fast prototyping for Edge AI-based computer vision applications?

#computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing #VisAILabs

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Nvidia DeepStream is an efficient and versatile software development kit (SDK), suitable for a wide variety of applications across a wide range of industries; It can help you build an efficient pipeline for fast-transfer image data as well as computer vision on edge with its transfer learning toolkit.

In this video, you get a deep insight into How Nvidia DeepStream SDK helps in fast prototyping for Edge AI-based computer vision applications?

#computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing #VisAILabs

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Distinguishing the right algorithm incorporates a variety of combinations. During the algorithm development phase, most engineers would choose an existing algorithm or model. Instead of starting from scratch, it all depends on the requirements and needs and how we train and prepare the datasets before applying them to our final solution. For this, we incline Nvidia's deep stream architecture to supply a set of algorithms that can help you move forward.

At the end of this video, you get a better idea to define the best algorithm for fast prototyping edge AI-based computer vision applications.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing #VisAILabs

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Analyzing the type of processor based on the customer’s prerequisite is the crucial phase in picking the right processor that bolsters the Edge AI application. The Nvidia Jetson processors set is designed to accelerate the application for Edge AI in particular. These Nvidia Jetson processors deliver performance and efficiency for the speed and power consumption of the computer software.

This video gives you a precise clarification of which Nvidia processor is used for which Edge AI-based computer vision applications.

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Edge AI application's primary goal is to manipulate data, minimise bandwidth, and render the system as intelligent as possible. Specifically, we propose Nvidia Jetson Nano, Nvidia Jetson TX2, Nvidia Jetson Xavier NX, and Nvidia Jetson AGX Xavier, four robust processors.

These robust processors allow you to run many neural networks simultaneously for applications such as the classification of images, objects, and segmentation, surveillance, smart parking lot management, multi-camera sports vision, and multi-camera surround view system with inference.

In this video, you get a thorough rationale for why Nvidia is the best edge AI processor for Edge AI computer vision applications.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing

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Instead of designing a product from the ground up, the off-the-shelf product encourages engineers to use the same product to envision the end product. The off-the-shelf embedded camera may be used to evaluate the captured image and extract the data or make a pass/fail judgment.

Along these lines, you can have a piece of detailed information about when to use USB 3.0, MIPI, and GMSL (Gigabit Multimedia Serial Link) cameras. You will find out how the off-shelf-camera components are used for quick prototyping and development in this video.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing

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Identifying the embedded camera interfaces and selecting the ideal alternative for the computer vision application is one pivotal approach that takes several factors into account. It is important to know how a camera module is connected to the embedded systems.

Every interface has distinct aspects, including reliability, high bandwidth, low bandwidth, and multi-camera. In this video, a piece of valid interface information is provided that allows selecting the correct embedded camera interface for your computer vision application.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing

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Click here to watch the full playlist: https://www.youtube.com/watch?v=wXObj...

Every day, countless images and videos getting streamlined on the online platform, yet have you ever envisioned how these pictures been caught so fresh and clear in fluctuated lighting conditions?

ISP is the one-stop solution to improve image quality – a technique that converts a normal image to a digital form by performing various operations like noise reduction, auto exposure, autofocus, auto white balance, and image sharpening.

In this video, you get a quick understanding of an image signal processor (ISP) and its need in an embedded camera.

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• Check out our full playlist: https://www.youtube.com/watch?v=wXObj...

Selecting the right image sensor can be a multifaceted task. The choice cycle contains various questionnaires to be flagged to eliminate any technology or product that does not fit the application prerequisite. This incorporates choosing the right type of sensing technique based on the target's environmental conditions, control interface, range, resolution, and composition.

Every sensor differs dependent on the situation and the kind of utilization we pick.

Through this video, you get a reasonable view to choose the right sensor and options for your Edge AI-based computer vision application.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing #VisAILabs

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Cameras are all around us – we catch more pictures and videos, share, and utilize those captures for huge purposes.

So, choosing the right embedded camera will have a recognizable effect on the photographic experience and its outcomes.

This video gives you a quick preamble of 4 vital parameters we need to consider while choosing an embedded camera.

#computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing

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Edge AI is the recent new wave of advances. The Edge AI algorithms are processed locally on a device without the need for the cloud.

This video helps you comprehend Edge AI applications' core components such as camera, edge processor, and algorithms.

We also justify how each part is critical for the efficient implementation of Edge AI applications.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing

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Check out VisAI Labs blog on "Top 3 Technical Problems In Human/People Detection Solutions."

Link: https://visailabs.com/top-3-technical-problems-in-human-people-detection-solutions/

Also, watch the VisAI Labs podcast on "How to manage Occlusion, Pose & Viewpoint variation problems in human detection solutions?"

Link: https://youtu.be/Ac2IgxT4yYo

In general, AI-based models perform better when trained in a localized and regulated environment. However, the most crucial benefit of using an AI solution is its generalizability.

It can be practiced in a particular environment with helpful data variations and applied with reasonable precision in a different environment. We must train the AI model to learn the features of the target object rather than the features of the environment.

Below are the three major issues we often face in human\people detection solution:

  1. Viewpoint variation: As the object’s viewpoints vary, the object’s shape changes drastically, which also changes the object’s features, and this causes the detector trained from one perspective to fail on other viewpoints.

  2. Pose variation: Several objects of interest are not rigid bodies; they can be deformed in powerful ways. In the human detection solution, the person can be in different kinds of pose variations like walking, standing, running, sitting, doing any activities, etc. The features of the person in these pose variations vary drastically. The training set must include all these variational inputs to detect all kinds of pose variations in the solution.

  3. Occlusion: Occlusion is another major problem for human detection in general. Some scenarios include when two or more persons come too close, or when the object occludes a person in front, or when a chair partially occludes a person. In these scenarios, the object of interest seemingly merges. These scenarios are called occlusion.

computervision #artificalintelligence #edgeai #edgecomputing #machinelearning #deeplearning #machinelearningalgorithms #deeplearningalgorithms #peopledetection #humandetection #detectionandtracking #videoanalytics #videotechnology #technologytrends #viewpointvariation #posevariation #occlusion #peopledetectionsolution #humandetectionsolution #VisAILabs #Nvidia #Nvidiadeepstream #NvidiaDeepStreamSDK

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Tap the link to watch the podcast on "How to select the right testing scenario for your people detection system based on use cases?"

Link: https://youtu.be/eMQWXilx2do

Check out VisAI Labs blog on "An overview of people/human tracking methodologies."

Link: https://visailabs.com/an-overview-of-people-human-tracking-methodologies/

People/human tracking and detection is a relatively recent advancement that is gaining interest in real-time tracking applications such as surveillance, human-robot interaction, driving assistance, remote surgery, and traffic control. This advancement's main aim is to shift human visual processing capacity to computers.

Several studies have been conducted to open up a new frontier of artificial intelligence by using the scene's 2D and 3D visual elements. This podcast will cover several concepts like people detection parameters: this incorporates speed and accuracy. And other major testing scenarios such as database testing which has, implicit test that includes invariance and minimum functional test and real-time deployment testing that has motion-based sample testing and person count based sample testing.

In the light of this, In this podcast, we provide you with finite answers to the following questions:

• What are the different types of dataset based testing?

• How to use invariance and minimum function test?

• What are the practical limitations of real-time deployment testing?

• How to manage the practical limitations of real-time deployment testing?

• When to do motion-based and people based sample testing?

peopledetection #humandetection #trackinganddetection #peopledetectionsystem #peopletrackingsolution #computervision #edgeai #artificialintelligence #facerecognition #surveillance #ADAS #cameraparameters #peoplecounting #congestiondetection #dwelltimedetection #intrusiondetection #socialdistancingchecker #peopledetectionandtrackingaccelerators #peopletrackingaccelerators #humantrackingaccelerators #humandetection #videotechnology #technologytrends

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Check out VisAI Labs blog on "How to choose the various testing scenarios to assess your Human/People Detection system based on specific use-cases?"

Link: https://visailabs.com/how-to-choose-the-various-testing-scenarios-to-assess-your-people-detection-system-based-on-specific-use-cases/

As digitalisation begins to spread across the world, the scope of people identification technologies will become a new standard most of the process tuning in an advanced way that simplifies the different human-based task more simply.

Due to the wide variety of identification technologies such as theft detection, gender detection, and people count detection, detecting people in a video scene of surveillance systems is becoming the main attraction among the verticals.

Human/People detection technology attempts to track the target's orientation and share the findings based on real-time requirements and scenarios.

In this podcast, we will give provide you with finite answers to the following questions:

  1. What are the different camera parameters you should define in your testing scenario?

  2. How to set up different for testing purposes?

  3. How is the identification of the scale of a solution imperative for choosing a testing scenario?

  4. Examples of how testing scenarios are set up?

peopledetection #trackinganddetection #peopledetectionsystem #peopletrackingsolution #computervision #edgeai #artificialintelligence #facerecognition #surveillance #ADAS #cameraparameters #peoplecounting #congestiondetection #dwelltimedetection #intrusiondetection #socialdistancingchecker #peopledetectionandtrackingaccelerators #peopletrackingaccelerators #humantrackingaccelerators #humandetection #videotechnology #technologytrends

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License Plate Recognition is an image-processing technique that uses license plates to recognise vehicles. This technology is used in a variety of traffic and security applications.  The license plate recognition incorporates capturing the real-time image and video of the license plate, which are processed by a sequence of algorithms that can provide an alphanumeric conversion of the captured license plate images into a text entry.  

In this podcast, we discuss how we can choose an embedded camera for license plate recognition.  

Below are the three notable highlights we would explain to you in this podcast: 

• How to solve the problem of shutter artefacts in License Plate Recognition? 

• How to handle bleaching and fast capture problems in LPR? 

• Which embedded camera VisAI Labs uses to solve LPR-based problems? 

#computervision #edgeai #artificialintellligence #technology #machinelearning #deeplearning #licenseplaterecognitiontechnology #licenseplaterecognition #securityandsurveillance #embeddedcamera #machinelearningalgorithms #deeplearningalgorithms

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People/ Human detection and tracking were critical features of the monitoring system due to their relevance for prompt identification of persons, human activity recognition, and scene analysis. 

According to the real-time use-case, we can accelerate the human/people detection model by around 20% by working and training a dataset.  

This podcast covers the different perspectives of human/people detection technical metrics. Here are the four significant portions this podcast would answer: 

  1. How and when bounding box and segmentation approach is utilized in people detection? 

  2. The 6 significant technical terms required to understand people detection accuracy metrics 

  3. When to use average precision (AP) and Mean average precision (mAP)? 

  4. Three demonstration scenarios for implementing and discussing accuracy metrics

computervision #edgeai #peopledetection #humandetection #technicalmetrics #peopledetectionsolution #edgecomputing #humandetectionsolution #artificialintelligence #machinelearning #deeplearning #machinelearningalgorithms #detectionsolution #humandetectionandtracking #peopledetectionandtracking #surveillance #camera #detectiontechnology #objectdetection #technology #embeddedcamera #humandetectionandcounting #humandetectionalgorithm #humandetectionapplications #humandetectionai #humandetectioncamera #humandetectiontechnology

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Ideation is a crucial step to creation, so before developing a product, you need to have a clear view of the type of product you're about to build from scratch. With the neat ideation, you enter into the next step of creating a prototype – developing a product with all functionality and can perform according to the customer requirements. We set the pre-production device from the prototype phase, and once it gets certified with relevant certifications and the product gets released in the marketplace.  

This podcast gives you a deep insight into getting Edge-AI from Proof of concept level to commercial deployment? We give few explanations why Edge-AI is favored by business verticals and a short walkthrough of how the vMeasure automated dimensioning solution is constructed from the ground up.

Also, watch our another podcast on Factors driving commercial deployment in Edge AI and Computer Vision:

https://youtu.be/S276z1CqFfw

artificialintelligence #edgeAI #edgecomputing #machinelearning #deeplearning #POCdevelopment #computervision #technology

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Computer vision and Edge AI are witnessing a booming high-pitch in AI-based applications and services. To highlight even better, we see commercial potential in the use of artificial intelligence techniques; the utilization of data\ information must always take into account concerns including data security, privacy, and potential issues of bias. 

Here are some of the factors that drive computer vision movement from the realms of academia to commercial deployments include: 

  1. Advancement in DL and ML frameworks 

  2. Availability to load a large volume of data 

  3. Cost and energy-efficient hardware 

  4. The proliferation of cloud (the rapid growth of Edge technology replaced the cloud) 

Additionally, below are few main reasons why computer vision has become deployable in the Edge includes 

• Bandwidth: For better data management 

• Latency: The edge device processes data quickly and reliably for use-cases that require real-time decision making. 

• Economics: relatively cheaper compared to cloud 

• Reliability: Getting inference done within the device without the need for the cloud. 

• Privacy: lower security and privacy threats.

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Edge AI is at the peak of Inflated customer expectations in the Gartner Hype cycle.

Why are so many PoCs being created and why do they provide so little value? Why do they not make it to the commercial deployment stage?

Understand the four reasons why PoCs are not being converted into commercially deployable products and how to avoid those problems. Also, understand the five reasons why incorporating Edge AI whilst building Computer VIsion capabilities into your product makes sense.

edgeai #computervision

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Nvidia DeepStream is an efficient and versatile software development kit (SDK), suitable for a wide variety of applications across a wide range of industries; It can help you build an efficient pipeline for fast transfer of image data well as computer vision on edge with its transfer learning toolkit.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing #VisAILabs

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Edge AI application's main goal is to manipulate data, minimize bandwidth, and render the system as intelligent as possible. In specific, we propose Nvidia Jetson Nano, Nvidia Jetson TX2, Nvidia Jetson Xavier NX, and Nvidia Jetson AGX Xavier, four robust processors. These robust processors allow you to run many neural networks simultaneously for applications such as the classification of images, objects, and segmentation, surveillance, smart parking lot management, multi-camera sports vision, and multi-camera surround view system with inference. In this podcast, you get a thorough rationale for why Nvidia is the best edge AI processor for Edge AI computer vision applications.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing

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Selecting the right image sensor can be a multifaceted task. The choice cycle contains various questionnaires to be flagged to eliminate any technology or product that does not fit the application prerequisite. This incorporates choosing the right type of sensing technique based on the target's environmental conditions, control interface, range, resolution, and composition. Every sensor differs dependent on the situation and the kind of utilization we pick. Through this video, you get a reasonable view to choose the right sensor and options for your Edge AI-based computer vision application.

computervision #edgeai #embeddedvision #machinelearning #artificialintelligence #ai #opencv #artificialintelligenceanddatascience #deepstream #deeplearningandcomputervision #datascience #technology #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #NVIDIAXavierCamera #CV #ML #DL #neuralnetworks #edgecomputing #VisAILabs

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E-commerce, Order Fulfillment centers, Warehouses are all at the brink due to the heightened package throughput. Understand how computer VIsion Enabled Automated dimensioning can help you build better and more efficient warehouses.

To understand more about automated dimensioning, check out: https://visailabs.com/visai-labs/vmeasure/

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In this podcast, we will use the 20+ years of cumulative experience from e-con systems and VisAI Labs to give you the definitive guide to developing a successful edge AI enabled computer vision application for the Israeli technology community.  

Visit us at www.visailabs.com

Key features of this webinar: 

»  What are the key hardware and software parts of an Edge AI-enabled Computer Vision product? 

»  What are the Important considerations before you start an Edge AI enabled Computer Vision product development? 

»  How to choose the hardware platform and how to choose the right camera? 

»  How to take advantage of existing development systems to build your product?  

EdgeAI #ComputerVision #Webinar

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Early adoption of technology is the separation between being a pioneer or has been for enterprises.

Autonomous mobile robots (AMR) are the same. Mobile robots in warehouses are capable to operate 24/7 in a faster and safer way.

A robotic arm is generally utilized where human-like interaction is essential and in a spot where target application can be complex, and the interaction must be versatile. Apart from the Image Signal Processor (ISP), a lens is an important factor to be considered for choosing the best image sensor.

To pick the right lens, we need to focus on two basics such as Fov (field of view) and aperture (capable to control the brightness of the image). Let about this and the other major requirements in this podcast would be “Picking the right image sensor and embedded camera for robotic Arms and Autonomous mobile robots for your applications.”

To learn more about edge AI and edge vision, connect with us: www.visailabs.com

emebeddedcamera #roboticarm #amr #artificialintelligence #automation #computervision #robotics #sensor #machinevision #Roboticarm #Roboticarms #roboticarmindustry #Robotics #industrialRoboticArm #AutonomousMobileRobot #JetsonXavierCamera #JetsonAGXXavierCamera #NVIDIACamera #OutdoorCamera #NVIDIAXavierCamera #Machinelearning #FleetManagement #Nvidia #VisAILabs #podcast #econsystems

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In an advanced world, several ventures are expanding in myriad ways, and smart cities are one among them. A smart city is never achieved without the growth of a camera. Surveillance, parking lot management, people tracking, and detecting are needed an embedded camera with varied sensors based on the clients' necessity.

Choosing the right embedded camera based on your application can be a game-changer in innovative technology. Picking the best fit camera can depend on distinguishing different use-cases such as variation in lighting, day and night lighting, high dynamic range, NIR lighting capability, and identifying camera with large pixel sizes, and so forth.

This podcast helps you to characterize the right embedded camera for smart city applications.

To know more, check out our website: https://visailabs.com/visai-platform/

smartcities #embeddedcameras #edgeai #smartcity #smartcitytechnology #smartcityapplication #digitaltransformation #automation #artificialintelligence #Aisecurity #security #securitysolutions #surveillance #technology #innovation #innovationandtechnology #smartcitysolution #smartparking #parkingsolutions #deeplearning #machinelearning #edgecompute #detection #tracking #surveillancesystems

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In this podcast I answer queries on how to manage day and night lighting and occultation.

Know more about us at: https://visailabs.com/about-the-company/

ComputerVision #edgeai #artificialintelligence #podcast # Vlog #machinelearning #embeddedvision #deeplearning #datascience #edgeai #nvidia #nvidiajetson #neuralnetworks #edgecomputing #informationtechnology #ai #deepstream #deeplearning&computervision #artificialintelligenceanddatascience #opencv

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In this episode, I delve a little bit into my firm VisAI labs and how we help firms to incorporate computer vision and edge AI into their products. I delve deep into our product development and customer engagement process and what kind of AI solutions we build for out customers.

To learn more about edge AI and edge vision, connect with us: www.visailabs.com

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In this episode, I talk about the hardware and software building blocks required to build an edge optimized and AI-enabled computer vision application. I will talk about how to choose the cameras, the processors as well as how to optimize the Machine learning algorithms to work on the cloud.

To learn more about edge AI and edge vision, connect with us: www.visailabs.com

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