DMS Algorithm / Computer vision

From the past decade, we witnessed exponential adaption of Electronics and software dominance in the domestic and commercial vehicles and it is expected to increase in coming years. One of the key reasons is primarily passenger safety, autonomous driving functionalities, and vehicle connectivity and government policies encouraging electric vehicle manufacturing. The high probability for road accidents is due to attention deficiency of drivers. The risks associated with human error can be mitigated through in cabin driver monitoring system mostly termed as Driver Monitoring System (DMS)

Functions and Models

The Driver Monitoring System is equipped with RGB and IR sensors to capture driver facial and in cabin passenger visual data to identify, analyze, and localize activities. Based on various detection, tracking and Localization components various Alert Systems are actuated. The surveillance settings can be personalized to identify custom events as well which adds a layer on security as well. The DMS system models are built with low latency Image processing techniques along with Deep Learning approaches for accurate and fast decision making.

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