I always struggle to remember what is recyclable and what isn't so I decided to use Tensorflow.js and the object detection model coco-ssd to recognise objects and help determine which bin I should throw them in.
This is a prototype.
The object detection is only as good as the pre-trained model used.
For the classification between different bins, I wrote a couple of files listing different objects that should be thrown in the yellow or red bins. These objects will differ depending on the country you live in. I based my selection on the NSW region in Australia.
At the moment, the objects listed in my files are based off of the 90 classes of the coco-ssd model and the 1000 classes of the mobilenet model.
The lists could be more detailed and include one for electronic goods that need to be thrown separately but that's a next step.
My main goal so far was to see if it would work, and it kinda does :)
- Clone the repository:
git clone https://github.com/charliegerard/tfjs-recycling.git- Navigate to it:
cd tfjs-recycling- Install the dependencies:
yarn- Start:
yarn startA browser window/tab should open on port 8081.
- Tensorflow.js v0.15.3
- Tensorflow model coco-ssd v0.1.1
- HTML / CSS / JS
- Webpack 4
- Babel 7
To build the project, run yarn build and the public directory will have the deployable files.
