Design and Implementation of Automated Law Enforcement using the Internet of Things (IoT)

Abstract

Due to a lack of legal enforcement, numerous vehicle accidents occur every year throughout the world. An effective vehicle tracking system is developed, tested, and classified in order to identify the speed of any vehicle in any street at any time and from any location (highways, crowded or secondary roads). The suggested system makes use of IoT technology, which is a relatively new development that has already made significant contributions to scientific research as well as offers many wonderful conveniences in daily life. The in-vehicle device utilizes GPS and GSM/GPRS, two of the most commonly used tracking technologies. The device is integrated into a moving object (vehicle) that is automatically tracked and observed in real-time. Through the OBD interface, the Raspberry Pi microcontroller periodically reads the vehicle speed. The Raspberry Pi microcontroller is equipped with GPS and GSM/GPRS modules to track the location of the vehicle. and, when the speed limit is exceeded, sends the coordinates and speed to the central station over the internet. The data pertaining to each vehicle is kept in a database at the central station. Based on the data gathered from the in-vehicle gadget, the driver who exceeded the speed limit will immediately receive a fine through the central station. The proposed system will help in reducing the likelihood of driver fraudulence and has demonstrated its efficiency and accuracy to reduce excessive speed and traffic accidents, leading to the daily saving of many lives. The system has been successfully built and effectively tested at a lower cost than traditional systems that rely on the use of cameras on each road.