Food Detection IoT

Intended to run on in home compost bins for the purpose of collect AI training data.

Production - Automatically run detections on bootup

SSH or open up a terminal on the Jetson Nano and run the following commands:

Setup:

git clone https://github.com/Soundbendor/food-detection-embedded.git
cd food-detection-embedded
git checkout nano-refactor
./setup.sh

Exit the terminal, unplug the Jetson Nano, wait 10 seconds.
Then, plug the Jetson Nano back in, wait 30 seconds, and the device should automatically light up to detect foods!

Development

Run Detection Loop

./src/main.py

Acknowledgements & Contact

If you would like to use any part of this program, please cite our publication here:

@inproceedings{10.1145/3686215.3686216,
  author = {Beery, Aidan J. and Eastman, Daniel W. and Enos, Jake and Richards, William and Donnelly, Patrick J.},
  title = {Smart Compost Bin for Measurement of Consumer Food Waste},
  year = {2024},
  isbn = {9798400704635},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi-org.oregonstate.idm.oclc.org/10.1145/3686215.3686216},
  doi = {10.1145/3686215.3686216},
  booktitle = {Companion Proceedings of the 26th International Conference on Multimodal Interaction},
  pages = {100–107},
  numpages = {8},
  keywords = {artificial intelligence, computer vision, consumer compost, food waste, smart technology},
  location = {San Jose, Costa Rica},
  series = {ICMI '24 Companion}
}

Lead Developer: Will Richards (@WL-Richards)

Project Lead: Aidan Beery (@Aidan-B1409)

Advised By: Dr. Patrick J. Donnelly @ Oregon State University

Website: http://www.soundbendor.org/