Object Detection For Vehicular Nameplate Detection Using EasyOCR and YOLOv3

  • Unique Paper ID: 168282
  • Volume: 11
  • Issue: 5
  • PageNo: 1191-1196
  • Abstract:
  • This project is based on computer vision concepts for improve the image processing and image quality of vehicle number plate detection. Computer vision technologies such as YOLOv3 and EasyOCR are the fundamental tools for Vehicle number-plate detection. By using this core capabilities to identify the object detection, text recognition and data integration. In the existing system, the information is highly required for both management of traffic as well as reduction of crime. Number plate recognition is an effective way for automatic vehicle identification. In the proposed system, the advanced technologies are used for vehicle number-plate detection that integrates YOLOv3 for object detection with EasyOCR for text recognition. The system is designed to identify vehicle number-plates from images or video feeds, extract the license plate information and provide comprehensive vehicle details. The key innovation of this system is ability to enhance vehicle identification by not only reading the license plate numbers but also providing extensive vehicle information. This feature transforms the system into a robust tool for vehicle management and verification. This project focuses on vehicle number plate detection with added features such as number plate color detection, logger system, and an AI-based rating system. These additional capabilities enhance the basic number plate recognition functionality, providing more robust vehicle monitoring and alerting capabilities.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 1191-1196

Object Detection For Vehicular Nameplate Detection Using EasyOCR and YOLOv3

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