RiderEye is a vision-AI based ADAS software designed for the two-wheeler market. Through the integration of software and DVR SoC, RiderEye can provide rear collision warnings and malicious driving behaviors tracking from images captured by the DVR. It is a cost-effective ADAS solution to enhancing rider safety without much hardware costs and complex installation efforts (by just installing two indicators near the rear-view mirrors). 

The cutting-edge AI algorithms facilitate classifying multiple objects and identifying real potential risks with low false alarms. They also make sure all ADAS functions work in challenging environments such as low-light, backlight, twilight, rainy days, etc. Besides, RiderEye offers a dirty lens reminder to ensure riders are protected at every moment.

Product Key Features

• Light-weight AI model compatible with mainstream DVR SoCs
• Cost-effective ADAS solution for riders
• Cutting-edge AI model overcoming challenging environments
• Classify and track multiple objects capability with low false alarm
• 2-level warning zones to identify the urgency

System Requirements

• Vision-AI model computation power requirement: <0.4 TOPS (15fps)
• RAM requirement: 30MB
• Storage requirement: 20MB