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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: 15 days 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 (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-04T07:04:02.000Z (over 1 year ago)
- Last Synced: 2024-02-25T17:29:19.981Z (12 months 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
Awesome Lists containing this project
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)