March, 2024
2.5K
February, 2024
1.7K
Total in 3 months : 5.9K
United States
Dreyev is an AI computer-vision safety system creating an Enterprise Attention Management Platform which analyzes attention of drivers and operators, as well as objects around them. Our current automotive application is a driver safety product which analyzes driver attention and provides feedback in real-time to prevent crashes and improve driving skills. Our solution is the only one in the market that runs real-time software (driver attention management incl. distraction and drowsiness in context of road scene analysis) on low-cost Android phones, using a fraction of the CPU and GPU. Differentiating adaptability and flexibility of our system are also covered by our IP. • What we offer: Virtual co-driver experience that prevents auto crashes through real-time risk alerts based on driver skill, attention, and responsiveness analysis within the road risk context. • How we achieve that: Context-aware in-vehicle monitoring system evaluates driver attention and responsiveness to road conditions using proprietary software and issues customized alerts based on the behavioral AI algorithm. • How we deliver: The hardware components include a small face-directed camera (infrared) and a separate smartphone device as an onboard processor. More cameras can be added for augmented safety. We offer Fleet Managers and Insurance Partners access to the Analytics Platform that captures trip statistics, detailed incident records, and maintains individual driver risk scores.
Dreyev is an AI computer-vision safety system creating an Enterprise Attention Management Platform which analyzes attention of drivers and operators, as well as objects around them. Our current automotive application is a driver safety product which analyzes driver attention and provides feedback in real-time to prevent crashes and improve driving skills. Our solution is the only one in the market that runs real-time software (driver attention management incl. distraction and drowsiness in context of road scene analysis) on low-cost Android phones, using a fraction of the CPU and GPU. Differentiating adaptability and flexibility of our system are also covered by our IP. • What we offer: Virtual co-driver experience that prevents auto crashes through real-time risk alerts based on driver skill, attention, and responsiveness analysis within the road risk context. • How we achieve that: Context-aware in-vehicle monitoring system evaluates driver attention and responsiveness to road conditions using proprietary software and issues customized alerts based on the behavioral AI algorithm. • How we deliver: The hardware components include a small face-directed camera (infrared) and a separate smartphone device as an onboard processor. More cameras can be added for augmented safety. We offer Fleet Managers and Insurance Partners access to the Analytics Platform that captures trip statistics, detailed incident records, and maintains individual driver risk scores.
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