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https://github.com/aritrosaha10/blindspotdetection
A camera-based solution for checking a blind spot programmatically using machine learning.
https://github.com/aritrosaha10/blindspotdetection
camera jupyter-notebook machine-learning python raspberry-pi raspberry-pi-4 rpi rpi4 tensorflow
Last synced: about 2 months ago
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A camera-based solution for checking a blind spot programmatically using machine learning.
- Host: GitHub
- URL: https://github.com/aritrosaha10/blindspotdetection
- Owner: AritroSaha10
- License: gpl-3.0
- Created: 2021-06-03T18:56:22.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2024-04-25T15:54:32.000Z (8 months ago)
- Last Synced: 2024-04-25T17:00:29.025Z (8 months ago)
- Topics: camera, jupyter-notebook, machine-learning, python, raspberry-pi, raspberry-pi-4, rpi, rpi4, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 10.2 MB
- Stars: 8
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Blind Spot Detection using Machine Learning
A lightweight camera-based solution for checking a blind spot programmatically using TensorFlow and Python on a Raspberry Pi.## Repository Contents
This repository contains multiple elements of the project. These elements include:
- Jupyter Notebook going into how the model was made
- The trained model
- Python program that uses the model on two cameras## Model Info
Using transfer learning on MobileNetV2, an accuracy of ~98% was reached for blind spot detection with an average prediction time of 0.09s on the Raspberry Pi 4 without any machine learning accelerators. Given an ML accelerator such as the [Google Coral USB Accelerator](https://coral.ai/products/accelerator/), it would likely reach prediction times of 0.0026s (2.6ms, [source](https://coral.ai/docs/edgetpu/benchmarks/)).## Demo Video
Want to skip straight into the details? Check out [this video](https://youtu.be/gVqHdGIRrTY) demoing the machine learning algorithm.[![Demo Video](https://i.imgur.com/ZLRfkQ5.png)](https://youtu.be/gVqHdGIRrTY)
## License
This project is under the GNU General Public License, version 3. More info is available in [LICENSE](/LICENSE)