Eyeware, known for developing eye-tracking technology for a range of different industries, announced a driver monitoring system through a press statement made on its website. The system utilizes Eyeware’s attention-monitoring technology in conjunction with Melexis’ 3D Time-of-Flight (ToF) sensor. The sensor, along with its video graphics array (VGA) resolution, is the key attribute of the driver monitoring system and comes with numerous features to aid its purpose of enabling robust eye and head tracking for in-cabin driver monitoring.

The choice to use Melexis’ sensor was made to overcome the limitations of infrared tracking technology. For instance, when building the system, Melexis developed algorithms using proprietary strategies based on data-driven machine-learning approaches. This allows the sensor to be more efficient, coming with a lower cost, lower power usage and a compact design, allowing it to be integrated into the rear-view mirror assembly. The use of machine-learning in Melexis’ ToF sensor allows it to collect data and, from that data, enhance the system’s tracking capabilities. This means that the more frequently the sensor is used, the more accurately it can track the movement of the driver’s head and eyes. This accuracy is achieved in conjunction with the system’s VGA camera that comes with a 640px x 480px array based on Sony’s Depthsense technology and a maximum full-resolution framerate of 135FPS, allowing up to 4 raw phases per frame.

Melexis’ use of machine-learning technology in conjunction with Eyeware’s advanced eye-tracking technology presents its system as an interesting new entry to the increasingly competitive market for driver monitoring systems. It will also be interesting to see how the Time-of-Flight sensor utilized in their system compares to conventional solutions, such as infrared.

You can find out more about driver monitoring systems here