An Open-source Based Automatic Car Detection System using IoT

被引:0
|
作者
Khurat, Assadarat [1 ]
Siriphun, Nappaphol [1 ]
Saingthong, Jiratchaya [1 ]
Sriwiphasathit, Jirapat [1 ]
机构
[1] Mahidol Univ, Fac Informat & Commun Technol, Salaya, Nakhon Pathom, Thailand
关键词
Image Processing; OpenALPR; YOLO; Raspberry Pi; Tesseract; Cloud Server; IoT;
D O I
10.1109/jcsse.2019.8864188
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Cars have been employed as a tool to commit a crime such as for escaping, carrying drugs, or bombs to attack especially in the three southern borders of Thailand. To detect a suspicious car from a blacklist, government officers normally check this manually which may have some errors. This blacklist can be updated time by time. In addition, to avoid being detected, the criminal may change the car license plate. Therefore, it is better to have an automatic system that can detect suspicious cars. Though there are some open-source programs that can detect car such as by its license plate, they have many limitations; for instance, cannot recognize Thai license plate, cannot detect car logo; especially there is no system that can perform these two functions together. This project thus proposes an automatic car detection system that can recognize a Thai license plate and car logo in one system. We aim to build this system to be portable using low-cost IoT devices and to develop it with open-source programs. In addition, we will publish the Thai license plate recognition and logo detection models for the benefit of Thai society.
引用
收藏
页码:283 / 288
页数:6
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