https://github.com/devymanish/frameflow_ai

Our Hackathon project FrameFlow AI automates license plate recognition from DNS footage, storing data securely in the cloud. Users can query driver information via a user-friendly website
https://github.com/devymanish/frameflow_ai

artificial-intelligence computer-vision number-recognition python react

Last synced: 8 months ago
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Our Hackathon project FrameFlow AI automates license plate recognition from DNS footage, storing data securely in the cloud. Users can query driver information via a user-friendly website

• Host: GitHub
• URL: https://github.com/devymanish/frameflow_ai
• Owner: DevyManish
• License: mit
• Created: 2023-09-03T14:29:35.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-04T07:04:02.000Z (almost 3 years ago)
• Last Synced: 2025-04-03T04:04:07.344Z (about 1 year ago)
• Topics: artificial-intelligence, computer-vision, number-recognition, python, react
• Language: Jupyter Notebook
• Homepage: https://frameflowai.vercel.app/
• Size: 9.85 MB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          

![Logo](https://i.postimg.cc/bN9jDz1y/Whats-App-Image-2023-09-03-at-21-11-42.jpg)

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

```bash

 cd server

 pip install -r requirements.txt

 streamlit run main.py

```

### Client

```bash

  cd client

  npm install

  npm run start

```

### Browser

```bash

  http://localhost:3000/

```

    

## Screenshots

![Image1](https://i.postimg.cc/qB5yhjZc/github-Image.jpg)

![Image2](https://i.postimg.cc/HnD8Ys2r/website.png)

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

## Authors

- [Manish Gupta](https://github.com/devymanish)

- [Pratyush Singha](https://github.com/pratyushsingha)

- [Kumar Harsh](https://github.com/harshu-kasyap)

- [Onkar Gupta](https://github.com/onkar-17)

- [Sahil Kumar](https://github.com/sahiluma2004)