Authors: Aditi Singh, Raju Ranjan
When it comes to road safety, detection and monitoring of car speed is one of the major tasks. The use of a simple camera and image processing software eliminated the primary tools of speed detection like handheld radar gun. In these techniques, the speed is calculated as the car passes through the camera’s field of view (FOV). The speed is calculated by noting the time taken by car between entering and exiting FOV. Some systems used individual cameras at entry and exit FOVs. Thus, it does now calculate the speed in between this interval. This paper proposes a technique to measure speed of car the moment it enters into the camera’s FOV till the time it exits the FOV. Using the Deep Learning Single Shot Detector (SSD) implemented using Convolutional Neural Network (CNN), the cars entering FOV are detected and based on the distance they travel in FOV and time taken to cover that distance the speed of car is calculated
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[v1] 2020-07-06 11:54:41
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