An Elaborative Study on Vehicle Speed Detection and Tracking
Keywords:
Computer Vision, IoT, Safety, Speed trackingAbstract
Vehicle detection, speed tracking, and controlling are emerging fields where a lot of studies were carried out in the past decade. This paper presents a detailed survey of the various methodologies presented in the state of the art for vehicle tracking and speed controlling. The autonomous car has progressed in the advancement of the Internet of Things and Artificial Intelligence. Many times it happens that, though we have a good quality of cameras due to weather, the camera cannot detect the vehicle properly. The camera may face some problems like in day and night vision, sometimes in the rainy season, the vision cannot be clear. At this time the technology moves from Image Processing to Computer Vision. At the same time, IoT devices are useful to track the speed of the vehicle as well as control the speed of the vehicle. The comparative analysis of the various methods found in the literature using the image and video processing was discussed.
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