Edgetensor, a startup company based out of Dallas, Texas, is creating an artificial intelligence systems to help monitor autonomous vehicles. They are mostly focused on the issues around distracted drivers, which is still a dangerous problem even if level-3 autonomous cars.
A level-3 autonomous vehicle is one that still requires a driver to intervene and take over control of the vehicle in certain situations. Edgetensor is looking to edge-computing as a solution.
“For consumers, they want protection from fatal crashes. According to the NHTSA, 41 percent of all crashes are a caused by a distracted driving. We started looking into edge-computing as a solution.” said Rajesh Narasimha, CEO and co-founder of Edgetensor.
The company’s driver monitor system is designed to run robust AI processing software on low-cost, commodity hardware—using any camera.
Edgetensor offers a driver monitoring system using an AI inference engine optimized for both low power devices, which delivers a high-accuracy cost effective way to monitor passengers in real-time. The system offers face tracking, head posture detection, eye and mouth tracking, and gaze and iris tracking, to make sure a person is always paying attention. The system can even identify your mood based on your facial gestures.
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