Autonomous driving systems are not really a hundred percent self driving cars, they save the driver from driving activities as much as possible. With the crashes not ruled-out in real-time usage of autonomous driving, there are issues related to safety of autonomous driving. To make the system fool-proof, there is a progress by enabling driver monitoring systems, where driver is monitoring continuously so that the driver and passenger safety is ensured.
ABI Research forecast the market to reach 17.5 Million Camera-Based river monitoring systems by 2026. The autonomous driving systems need a robust human-machine interface where human and machine work in tandem to achieve safety and impressive driving. Leading automakers such as Mercedes Benz, Nissan, Tesla and others have all launched autonomous vehicles where they have given importance to this human machine interface aspect of the design.
Industrial analyst James Hodgson of ABI points out how important are the understanding of driver biometrics. The driver's biometric correctly reads alertness and his/her continuous engagement with the driving process and even the driver’s ability to interact with the systems as and when required. The cameras used to track drivers include internal cameras either of stereoscopic type or stereoscopic time-of-flight type to identify and drag the facial behaviors, the gaze of the drivers and upper body position. Once, the motion image is continuously captured, then comes the vision analytics where there are good number of companies doing vision analytics after monitoring the driver motion and other metrics. The companies such as EDGE3 Technologies, FotoNation, Jungo Connectivity and Gestigon are listed by ABI as some of the companies who are into vision analytics part of the driver monitoring systems.