Absorption of Advanced Driver Assistance System (ADAS) technology into autonomous cars has witnessed a wide popularity among OEM’s, ODM’S and established automakers. The intelligent algorithms built on ADAS have greatly reduced the dependency on passive safety elements and eliminated several blind spots that constrained a driver's situational awareness.

Designing such critical systems is what we offer at PathPartner, right within the limits of size, cost, and efficiency. Our ADAS offerings are suited for automakers, defence, R&D, OEMs and automobile suppliers to develop smart cars that have capabilities to gauge, analyze and add elements of safety while delivering an enhanced driving experience.

Drowsiness Detection

The Drowsiness Detection algorithm employs vision based driver fatigue detection methods. It is a natural, non-intrusive and convenient technique to monitor driver’s vigilance. It incorporates eye blink frequency to detect a person’s drowsiness level and sounds an alarm when he/she is drowsy. The algorithm has been optimized for several platforms for real time applications and prototype drowsiness detection systems.


  • Detection of eye, eye movement, blinking
  • Algorithms optimized for different platforms


  • Automotive Safety – Drowsiness detection and alerting the driver
  • Games – Gaming applications based on blinking frequency of the eye

Platform Availability

  • OS: Android, Embedded Linux, and Windows
  • Hardware: ARM11, Cortex A8, Cortex A9, TI DM8127, Intel platforms