An Intelligent Vehicle License Plate Detection for an Emergency Notification System
This research presents a vehicle license plate recognition and emergency notification system utilizing advanced image processing techniques. The system captures input images and employs Optical Character Recognition (OCR) to accurately extract license plate text. By cross-referencing the identified license plate number with a stored database, the system retrieves corresponding vehicle details. In the event of an emergency, the system leverages Twilio’s SMS service to send notifications to designated emergency contacts. Developed using the Flask framework, the system offers a user-friendly web interface for easy interaction. This comprehensive approach enables rapid vehicle identification and facilitates timely emergency response, ensuring efficient assistance in critical situations.
Authors
- R. Sathya
- V.C. Bharathi
- Laxmi Raja (ORCID: https://orcid.org/0000-0001-6040-8794)
- T. Kathirvel
- T. Shahin Abdul Razack
- S. Ananthi (ORCID: https://orcid.org/0000-0003-0546-2354)
Institutions
- SRM University (IN)
- Sri Eshwar College of Engineering
- VIT-AP University
- Karpagam Academy of Higher Education (IN)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/icosec61587.2024.10722714
- Primary Topic
- Vehicle License Plate Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00