Our project automates license plate recognition from DNS footage, storing data securely in the cloud. Users can query driver information via a user-friendly website. Applications include security, and law enforcement. Join us to simplify tasks, enhance security, and improve efficiency.

Features

• License Plate Detection: Utilizes advanced computer vision for accurate plate recognition, even in challenging conditions.

• Cloud Storage: Securely stores plate data with timestamps using reliable cloud services.

• Driver Info Retrieval: Automatically fetches driver details from the cloud database.

• User-Friendly Website: Allows easy plate image upload and data retrieval through an intuitive interface.

• Access Control: Implements strict security measures, limiting database access to authorized personnel.

Deployment

• Live Preview: https://frameflowai.vercel.app/
• Result: https://shorturl.at/dxBDT

Installation

Server

 cd server
 pip install -r requirements.txt
 streamlit run main.py

Client

  cd client
  npm install
  npm run start

Browser

  http://localhost:3000/

Screenshots

• YouTube: https://www.youtube.com/watch?v=W-pkQ7se4DI

Authors

• Manish Gupta
• Pratyush Singha
• Kumar Harsh
• Onkar Gupta
• Sahil Kumar