Edge AI and Vision Case Studies

Edge AI and visual intelligence enables a new realm of system innovation

The emergence of practical computer vision technology creates vast opportunities for innovation in electronic systems and associated software. In many cases, existing products can be transformed through the addition of vision capabilities. One example of this is the addition of vision capabilities to surveillance cameras, allowing the camera to monitor a scene for certain kinds of events, and alert an operator when such an event occurs. In other cases, practical computer vision enables the creation of new types of products, such as surgical robots and swimming pool safety systems that monitor swimmers in the water. Companies that adopt vision technology ahead of their competitors will reap big rewards in many markets.

Swimming Pool Safety System

While there are bigger markets for vision products, swimming pool safety is one of those applications that truly shows the positive impact that technological progress can have for society. Every parent will instantly appreciate the extra layer of safety provided by machines that see and understand whether a swimmer is in distress. When tragedies can happen in minutes, a vision system shows the true potential of this technology — never becoming distracted or complacent in performing the duties of a digital lifeguard. For more information, see the Posideon Technologies website.


Vision technology was first deployed for security applications, addressing the fundamental problem that the millions of security video cameras vastly outnumber the availability of humans to monitor them in real-time. Moreover, studies have shown that the attention span of a human is only about 20 minutes when watching a camera feed. In most cases, video cameras historically only helped to review the scene after an incident had already occurred. A tireless and ubiquitous embedded vision system solves many of these problems and can even provide an alert to take action in real-time. Find out more information in the Security Applications section of this website.

Gaming Gesture interfaces

The success of Microsoft’s Kinect for the Xbox 360 game console, subsequently expanded to support PCs, as well as the vision support in successor-generation consoles from both Microsoft and Sony, demonstrates that people want to control their machines using natural language and gestures. Practical computer vision technology has finally evolved to make this possible in a range of products that extend well beyond gaming. For more information, see the Alliance’s conversation with Loyd Case on gesture-based interfaces, and the Consumer Applications section of this website.

Additional Case Studies

As the Edge AI and Vision Alliance interacts with its growing list of Member companies, along with the product creator community, we’ll continue to highlight specific case studies in detail. See, for example, the Videos page of the website for ideas of how you can implement edge AI and practical computer vision technology in your own designs. Additional case studies can be found in the Latest News and Resources sections of the website, in both written and video forms.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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