Development of an Internet of Things Enabled Vehicle Movement Management System for Federal University of Technology Minna Niger State

Abstract

In recent years, the number of cars entering Federal University of Technology Minna has been on the increase. Vehicle Security can be managed using time-in and time-out metrics as well as license plate numbers. This research proposes a way for tracking vehicle movement based on the vehicle's license plate number with a data logging model that serves as a centralized database structure for vehicle identification, employing image processing and IoT for detection and recognition accuracy. This project aims to develop an internet of things enabled vehicle movement management system for federal university of technology Minna using AI, computer vision (image processing), laser scanning, and CNN. This challenge requires mathematical ideas and algorithms to complete the product's steps. High-quality cameras capture the image. This work focuses on plate number localization using contours tracing and optical character recognition using OpenCV modules. A vehicle equipped with a high-precision GPS and GSM module was used to test the suggested video processing technique. This study combines a variety of methods, from plate number detection to character recognition, to increase system performance with minimal effort and processing resources. These trials show the adaptability of Federal University of Technology Minna's vehicle, along with video and image processing for data logging and decision making. Also demonstrated were training data set results and video frame recognition persistence. A graphical user interface was created for data logging to enable model training continuation and system monitoring and control. It is strongly suggested that vehicle investigations benefit from the use of a central, publicly accessible database for license plate number lookup. If police had access to this database, they would have a streamlined method of locating wanted individuals by license plate number. Not only would such a system improve public safety, but it would also be a huge help to law enforcement in their day-to-day activities.