Driver Monitoring System (DMS) Solutions
State-of-the-art computer vision that continuously analyses driver alertness using camera feeds to detect fatigue, distraction and cognitive impairment in real time.
AI algorithms tuned for production ADAS
Face & Eyelid Blink Detection
Real-time tracking of facial structures and eyelid closure patterns for drowsiness and micro-sleep detection.
Gaze Estimation
Head pose and visual attention vectors to determine if focus is drifting from the road.
Emotion Detection
Affective computing layers integrated to gauge emotional state and stress levels.
Highly Adaptable Architecture
All internal algorithms are modular — customise or bypass individual modules per application.
Highly portable, edge-optimised codebase
Hardware Agnostic
Optimised and ready to port directly to specialised chipsets such as the TI DM368.
Flexible Chipset Porting
Code structures can be fine-tuned and recompiled onto alternative ARM-based hardware.
C++ Engineering
Performance-optimised C++ for minimal latency and maximum uptime.
Linux Environment
Built within a robust, reliable Linux environment for embedded automotive use.