Browsing by Author "Ghazal,M."

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Citation Count: 3
Real-time Automated License Plate Recognition and Tracking of Runaway Vehicles
(Institute of Electrical and Electronics Engineers Inc., 2022) Ramadan,M.N.A.; Hilles,S.M.S.; Alkhedher,M.; Ghazal,M.
We propose real-time vehicle plate number recognition in this study, which aids law enforcement in detecting and stopping wanted vehicles. The system is made up of smart devices that are dispersed throughout the county via major thoroughfares. A camera, an industrial computer, and a wireless RF module are included in each device. The system detects vehicle activity, then recognizes the plate number and matches it to the wanted list plat numbers uploaded to the server by the cops. When the system detects a wanted plate number, it sends an automatic signal to the next police checkpoint via a radio frequency RF module, allowing the officers to intervene and halt the car. Furthermore, without using GPS, the system can be used to track vehicles throughout the country. Each smart unit detects a vehicle license plate number and sends the information to the server, which records the information within the specified time range. Tracking all vehicles in the county and knowing each vehicle when it passes each road by verifying its history would be efficient. The system will assist police in instantly locating and tracking any desired vehicles around the county, saving time and effort by eliminating the need to study the history of video recording devices. The proposed method uses an 80-frame-per-second camera system to evaluate license plates from moving cars traveling at 100 km/h. In scenarios where more than a thousand car images are gathered and examined, our findings demonstrate that the system has a 98 percent recognition accuracy. © 2022 IEEE.