AI Based Seamless Vehicle License Plate Recognition Using Raspberry Pi Technology
- Title
- AI Based Seamless Vehicle License Plate Recognition Using Raspberry Pi Technology
- Creator
- Abreo A.; Mayur C.; Sinha S.
- Description
- This research presents the implementation of an innovative Vehicle Management System designed specifically for the Christ University Project 'CampusWheels.' The system incorporates cutting-edge technologies, including YOLOv8 and Tesseract OCR, for robust license plate recognition. Addressing the unique challenges faced by Christ University in managing and securing vehicular movements within the campus, this project becomes crucial as the number of vehicles on campuses continues to grow. It not only provides an effective solution to these challenges but also introduces innovative methodologies, marking a significant departure from conventional campus management practices. The paramount importance of this project lies in its ability to enhance campus security through real-time vehicle monitoring and identification. The utilization of YOLOv8 for vehicle detection and Tesseract OCR for license plate recognition ensures a high level of accuracy in identifying and tracking vehicles entering and leaving the campus. This precision significantly contributes to the prevention of unauthorized vehicle access, a common security concern on educational campuses. Moreover, the system's ability to streamline traffic flow and improve efficiency in parking and access control addresses practical issues faced by campus administrators and security personnel. 2024 IEEE.
- Source
- Proceedings - 2024 13th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2024, pp. 387-392.
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Customized Vehicle Management; Indian Number Plate Recognition; Raspberry Pi; Tesseract OCR; YOLOv8
- Coverage
- Abreo A., CHRIST(Deemed to Be University), Department of Computer Science, Bangalore, India; Mayur C., CHRIST(Deemed to Be University), Department of Computer Science, Bangalore, India; Sinha S., CHRIST(Deemed to Be University), Department of Computer Science, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835030546-3
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Abreo A.; Mayur C.; Sinha S., “AI Based Seamless Vehicle License Plate Recognition Using Raspberry Pi Technology,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19385.