AI Vision
AI-Enabled Video Analytics at the Edge
Computer vision combines smart cameras, edge- or cloud-based computer technologies, software and artificial intelligence for the realization of systems that can detect and identify people and objects. Avnet Embedded’s intelligent vision technology platform is designed for deep learning supported video analytics at the edge. For these high-performance applications, the intelligent vision platform is equipped with the extremely powerful COM Express™ Type 6 module of the MSC C6B-CFLR family from Avnet Embedded, which is based on an Intel® Core i7 or Intel® Xeon™ processor. The technology platform can integrate various accelerator technologies for fast data processing at the edge. Depending on the specific application, the number of video channels and the latency time play roles. The solutions range from AI inferencing on powerful CPUs, graphics processing units to the optimized Intel® Movidius Vision Processing Units (VPUs).
Avnet Embedded’s first market-ready solution — our people detection functional platform — is a combination of a tailored computer vision technology platform and a dedicated software framework providing intelligent video analytics at the edge. No matter if you want to count humans, detect motions or analyze human behavior the different functionalities are easy to use and to adapt to your environment and application. You may be surprised how easy it is to do this with our Market Ready Solution in your application. Optional functionalities of the Market Ready Solution are GDPR compliant face recognition and License plate identification.
Computer vision solutions account for a significant share of the global market for future promising applications based on artificial intelligence. On the basis of digital camera and video recordings as well as AI models, machines can identify and classify objects and persons, and execute resulting actions. Avnet Embedded´s AI Vision solutions focuses on various market verticals.
These use cases describe three typical industrial applications for Avnet Embedded’s people detection market-ready solution.
Challenges: Safety monitoring of extensive- or safety-relevant areas such as, for example, warehouses, production plants, complete buildings, or critical infrastructure, requires a high level of human resources. Nevertheless, virtual, or visual safety limits must be monitored and maintained to prevent accidents caused by persons or objects in the danger zone.
Our Solution: Visual monitoring in real time allows rapid detection of people in safety-critical zones. After an event has been detected, appropriate actions can be initiated, and a hazard report compiled. All this without addition personnel costs
Available out of the box or fully customized to suit your purpose. Units come with a quick start guide for easy setup and full support from Avnet Embedded.
Download your quick start guide
With approval from Intel as market ready solution we simplify the use of Artificial intelligence for computer vision applications and provide essential benefits.
Build to your needs – Flexible adaption to different use cases by deep learning SW and HW
Accelerate development – Our functional platform reduces development efforts and time-to-market
Scale quickly – by leveraging AI Vision’s quick-start compute and software building blocks
Have a look at the link at Intel’s market place and partner up with Avnet Embedded to get an advantage in your market
No other technology trend is as ubiquitous as artificial intelligence and at the same time confronts companies with such complex new challenges. With Avnet Embedded’s intelligent solutions and extensive support AI can be easy to understand and apply. With 100 years of experience, partners like Intel and Avnet’s complete ecosystem to support you, your next AI innovation is within reach.
Generally speaking, Artificial Intelligence is an umbrella term for a large field of computer science technologies. Its overarching objective is the reproduction of the human brain and its functionalities by technology, or more precisely through the usage of algorithms, that provide computer and machines the toolset to solve problems. Especially AI’s capability to empower computer to learn independently from data and its experiences made in solving problems, represents the core advantage of the technology. Today’s AI is the result of its technological evolution displayed below.
Generally speaking, Artificial Intelligence is an umbrella term for a large field of computer science technologies. Its overarching objective is the reproduction of the human brain and its functionalities by technology, or more precisely through the usage of algorithms, that provide computer and machines the toolset to solve problems. Especially AI’s capability to empower computer to learn independently from data and its experiences made in solving problems, represents the core advantage of the technology. Today’s AI is the result of its technological evolution displayed below.
While the wide variety of use cases for AI applications continues to grow, AI’s most relevant building blocks remain the cloud, the edge, data, and algorithms. Their cooperation is exemplary illustrated by means of intelligent video analytics using AI to enable image inferencing in live video streams. While more AI applications are moving to the edge and thus closer to the data to be analyzed, the cloud remains centerpiece to AI model (algorithms) training, deployment, and user interfaces.
Artificial Intelligence represents a key centerpiece of the fundamental paradigm shift taking place in today’s technology world, often declared as the 4th Industrial Revolution. AI is being assigned the ability to evoke disruptive changes across all industries and the way we humans live and work. Although still in its infancy, AI technologies already take up speed and so do its markets. The current market revenue predictions just indicate the immense potentials of AI for all kinds of businesses. Seize this great chance and become part of this revolution with Avnet Embedded as your capable AI partner.