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Testing deep learning systems for license plate recognition on the edge

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Automatic Number Plate Recognition on Edge Devices using Deep Learning Techniques

Project Description

Final Year Project. Developing a system to detect cars, capture license plates, read and record text in real time on accessible hardware, testing on Raspberry Pi 4B. Utilizing OpenCV, PyTorch, Flask, and custom YOLOv5 and YOLOv8 models trained in Google Colab.

Project Setup

  1. Clone the repository

  2. Install Python if not already installed

Version 3.10.10 was used for this project.

  1. Install Requirements
cd registration-reader && pip install -r requirements.txt
  1. Run the Project
python reg-reader-v2.py
  1. Open the Web App

Navigate to the the webapp. The default port is 8000. The full URL will be displayed in the terminal.

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Testing deep learning systems for license plate recognition on the edge

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