License plate recognition system using computer vision for profiling vehicle entering and exiting Mariano Marcos State University / (Record no. 23473)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02129nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240919142159.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240905b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MMSU |
| Transcribing agency | ULS |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Castaño, Charles Philip E...et.al. |
| 245 ## - TITLE STATEMENT | |
| Title | License plate recognition system using computer vision for profiling vehicle entering and exiting Mariano Marcos State University / |
| Statement of responsibility, etc. | Charles Philip E. Castaño, Julianna D. Estavillo, Noemie Leigh G. Laforga, Stacy Khaye C. Rodrigo & Carlie Jane L. Ronque |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | City of Batac : |
| Name of publisher, distributor, etc. | MMSU, |
| Date of publication, distribution, etc. | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxi, 124 leaves : |
| Dimensions | 29 cm |
| 500 ## - GENERAL NOTE | |
| General note | UTHESIS ( Bachelor of Science in Computer Engineering) |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: leaves 79-81 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis/Dissertation |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Inventory number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MMSU Main Library | MMSU Main Library | Theses and Dissertation Section | 09/05/2024 | 6923 | UTHESIS-6923 | 09/05/2024 | 09/05/2024 | Thesis/Dissertation | Room Use Only |