Abstract
Overspeed has always been a very dangerous behavior for people. This may cause a variety of bad consequences such as car accidents and casualties. We need to be able to obtain the relevant information of the car while detecting the speeding now, so that subsequent punishments can be made, otherwise the perpetrators may commit the crime again. This paper proposes a high-precision, efficient method for taking photos of speeding vehicles and vehicle recognition. We directly connect the radar speed measurement module with the camera module, so that we only have one terminal for the whole system. When the radar module detects that the vehicle is speeding, it will send it directly to the camera module, so that it can capture the overspeed vehicle. This accelerates the response speed of the camera module. Therefore, when we design imaging devices, we can lower the requirements without reducing the accuracy. We can timely capture the image even if we choose the camera with low price and low quality. At last, we use image processing and support vector machines to identify the license plate. The whole system has not much equipment and can be installed in a narrow space.
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This paper is sponsored by Beijing Natural Science Foundation (L191004).
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Bai, L., Yang, J., Wang, J., Lu, M. (2021). An Overspeed Capture System Based on Radar Speed Measurement and Vehicle Recognition. In: Shi, S., Ye, L., Zhang, Y. (eds) Artificial Intelligence for Communications and Networks. AICON 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-030-69066-3_39
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DOI: https://doi.org/10.1007/978-3-030-69066-3_39
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