Plate Vision is a real-time license plate recognition system built with Next.js and Flask. It uses Python's AI libraries on the backend to process video files and identify license plates.
- Real-time license plate recognition from video files.
- Supports video file uploads in 'mp4', 'avi', 'mov' formats.
- Provides a user-friendly interface to start and stop the recognition process.
- Uses Flask as the API backend to handle video processing and license plate recognition.
- Uses Next.js for the frontend to provide a responsive and interactive user interface.
- Node.js
- Python
- Flask
First, install the dependencies with either of the below:
npm install
yarn
pnpm install
To run the development server:
npm run dev
yarn dev
pnpm dev
Open http://localhost:3000 with your browser to see the result.
The Flask server will be running on http://127.0.0.1:5328.
uploadVideo: This script handles the uploading of video files. It checks the file type and saves the file to the server.downloadVideo: This script handles the downloading of processed video files from the server.startScript: This script starts the license plate recognition process.stopScript: This script stops the license plate recognition process.
This project is licensed under the MIT License. See the LICENSE file for details.