Scope: Concept to Production Ready solution integrating Lidar and Camera (inward facing) for Driver Drowsiness Detection
Solution:
- Concept formulation, competitive market analysis
- Selection of hardware platform based on performance analysis and peripheral interfacing
- Porting, optimization and development of vision
- Deep learning models developed using Keras library
- Developed Python scripts for DDD post processing
- Performance analysis of vision-based algorithms
- Driver Drowsiness Detection is signalled via audio alerts for events like Blinks, Head Tilt, Yawning, etc.
- Support for infrared sensors for low light conditions
- Drive Record
- Test environment on PC platform to simulate the road scenario as seen by the camera
- System integration
Impact:
Complete driver monitoring system available on Nvidia platform