https://github.com/fanton-dev/traffic-brain
Traffic Brain is an open-source traffic light embedded system taking use of a machine learning classification model for decision making automation.
https://github.com/fanton-dev/traffic-brain
embedded python raspberry-pi spring-boot traffic-brain traffic-light yolov2
Last synced: 4 months ago
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Traffic Brain is an open-source traffic light embedded system taking use of a machine learning classification model for decision making automation.
- Host: GitHub
- URL: https://github.com/fanton-dev/traffic-brain
- Owner: fanton-dev
- License: mit
- Created: 2019-09-20T21:11:25.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2023-01-07T10:43:59.000Z (over 2 years ago)
- Last Synced: 2025-06-01T06:18:16.903Z (4 months ago)
- Topics: embedded, python, raspberry-pi, spring-boot, traffic-brain, traffic-light, yolov2
- Language: Jupyter Notebook
- Homepage:
- Size: 97.1 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 46
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Traffic Brain
> Traffic Brain is an open-source traffic light control system. Using a classifier, information about the current road situation is collected and automated light switch decision is made based on it.
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## Get started
The project consists of 4 main components:
- **Object recognition** for traffic detection (located in "[/classification](/classification)")
- **Main server** controlling all the traffic light nodes (located in "[/server](/server)")
- **Embedded server** and **traffic light schematics** (located in "[/embedded](/embedded)")
- **Front-end client** for communicating with the server (still incomplete; located in "[/client](/client)")
For each of the components' directories there is a coresponding `README.md` with instructions on how to get started.
## Authors
- **Angel Penchev** ([@angel-penchev](https://github.com/angel-penchev)) - Object detection neural network, Embedded traffic light
- **Bogdan Mironov** ([@bogdanmironov](https://github.com/bogdanmironov)) - Main controlling server
- **Simeon Georgiev** ([@simo1209](https://github.com/simo1209)) - Thank you for helping me out to complete the embedded <3
## Contributions
1. Fork it ()
2. Create your feature branch (`git checkout -b feature/fooBar`)
3. Commit your changes (`git commit -a`)
4. Push to the branch (`git push origin feature/fooBar`)
5. Create a new Pull Request
6. Upon review it will be merged.
## License
Distributed under the MIT license. See [LICENSE](LICENSE) for more information.