License plate recognition system using computer vision for profiling vehicle entering and exiting Mariano Marcos State University / Charles Philip E. Castaño, Julianna D. Estavillo, Noemie Leigh G. Laforga, Stacy Khaye C. Rodrigo & Carlie Jane L. Ronque

UTHESIS ( Bachelor of Science in Computer Engineering)

Bibliography: leaves 79-81

This thesis introduces an innovative approach by integrating YOLOv8, a state-of-the-art object detection model, into a License Plate Recognition (LPR) system for profiling vehicles at Mariano Marcos State University (MMSU). The system uses advanced computer vision techniques to capture and recognize license plates through strategica ly placed cameras at the entry and exit points of the university. The process involves image processing, license plate localization, character segmentation, and Optical Character Recognition (OCR), all enhanced byYOLOv8 for accurate retrieval of alphanumeric characters. The study followed a three-phase approach: pre-planning, development, and evaluation. Pre-planning involved setting objectives and methods; development encompassed executing methodologies and co lecting data; and evaluation focused on data analysis and drawing conclusions. xxiv Evaluation of the system is based on its effectiveness, accuracy, and dependability yielded promising results, affirming its success. Each criterion received a highly functional rating percentage- effectiveness, accuracy and dependability demonstrating the robust performance of the system. In conclusion, integrating YOLOv8 into the LPR system significantly advances vehicle profiling technology, making it a valuable asset for MMSU by enhancing campussecurity and safety