Attention Based Speed Governor for Electric Vehicles

Computer Vision and Real-time image processing is the foundation of many intelligent technologies in the automotive industry. This paper provides an insight into the application of these two technologies in monitoring the level of attention of the drivers. A speed governor for the vehicle is also designed accordingly. A sequence of images of the driver is captured and the level of drowsiness is calculated in real-time by analyzing various facial landmarks. This is then used to assess and set the speed limit of the speed governor. A working prototype is designed and implemented and the results of experimental testing is also discussed in this paper. This work has high social relevance as it helps to significantly reduce the number of accidents on the road due to drowsy drivers.