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

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

• Click here to know more about us: https://visailabs.com/

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

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

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

Click here to know more about us: https://visailabs.com/

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.  

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

• Click here to know more about us: https://visailabs.com/

• 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

• Click here to know more about us: https://visailabs.com/

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

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

• Click here to know more about us: https://visailabs.com/

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

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

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

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

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