https://github.com/UNCG-DAISY/Instagrain

A camera for measuring sediment grain sizes with edge ML
https://github.com/UNCG-DAISY/Instagrain

camera deep-learning edge-computing edge-ml grain-size grain-size-distribution hardware ml raspberry-pi sediment tensorflow tflite

Last synced: 3 months ago
JSON representation

A camera for measuring sediment grain sizes with edge ML

• Host: GitHub
• URL: https://github.com/UNCG-DAISY/Instagrain
• Owner: UNCG-DAISY
• License: mit
• Archived: true
• Created: 2021-05-07T15:05:47.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-06T19:47:18.000Z (6 months ago)
• Last Synced: 2024-05-19T22:09:26.589Z (6 months ago)
• Topics: camera, deep-learning, edge-computing, edge-ml, grain-size, grain-size-distribution, hardware, ml, raspberry-pi, sediment, tensorflow, tflite
• Language: Jupyter Notebook
• Homepage:
• Size: 75.2 MB
• Stars: 20
• Watchers: 6
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

• awesome-coastal - UNCG-DAISY/Instagrain

README

        
# Instagrain



[![Last Commit](https://img.shields.io/github/last-commit/UNCG-DAISY/Instagrain)](

https://github.com/UNCG-DAISY/SandCam/commits/main)

[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/UNCG-DAISY/Instagrain/graphs/commit-activity)

![GitHub](https://img.shields.io/github/license/UNCG-DAISY/Instagrain)

[![Wiki](https://img.shields.io/badge/wiki-documentation-forestgreen)](https://github.com/UNCG-DAISY/Instagrain/wiki)

[![Wiki](https://img.shields.io/badge/discussion-active-darkgreen)](https://github.com/UNCG-DAISY/Instagrain/discussions)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7041151.svg)](https://doi.org/10.5281/zenodo.7041151)

![Raspberry Pi](https://img.shields.io/badge/-RaspberryPi-C51A4A?style=for-the-badge&logo=Raspberry-Pi)

![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)

![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge&logo=TensorFlow&logoColor=white)

A camera for measuring sediment grain size in the field - ['instant grainification'](https://ui.adsabs.harvard.edu/abs/2007AGUFM.H51I0899R/abstract) (h/t Rubin & Chezar, 2007)

The camera currently runs a deep learning model to estimate grain size from pictures (using tensorflow lite)

We have several working prototypes out in the field. Here at HQ we continue to refine the camera design, hardware, software, and ML model. 

Prototype 1 (3D printed case)



Prototype 2 (current version; CNC'ed case and 3D printed parts)





## Do you want to be involved?:

0. Get in touch with us, we would be happy to collaborate!

1. Check out our [wiki](https://github.com/UNCG-DAISY/Instagrain/wiki) to learn how to build and use the camera.  

2. Read through the repository to look at the files/code we provide.

3. Check out the open [issues](https://github.com/UNCG-DAISY/Instagrain/issues) and participate in our [discussion](https://github.com/UNCG-DAISY/Instagrain/discussions). 

## Code of Conduct:

We intend to foster an inclusive and respectful environment surrounding the contribution and discussion of our project. Make sure you understand our [Code of Conduct](./CODE_OF_CONDUCT.md).