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

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

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

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.

#computervision #edgeAI #atificialintelligence #machinelearning #deeplearning

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

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

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

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

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/

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