
O
ne consequence of our efforts to build better,
more sustainable systems is having to learn
new rules for sorting thousands of objects into
trash, recycling, compost, hazardous waste, and
more. We are inevitably bound to make mistakes
and put things in the wrong bins.
Fortunately, as makers, we have the power to
build tools that make things easier. Enter: the
Raspberry Pi Trash Classifier (Figure
A
)!
For this system, I trained a model using Lobe,
a free, no-code app for building custom image
classification models, then exported the model
in TF Lite and deployed it on a Raspberry Pi 4 via
Python. When activated, its Pi camera will take a
photo, ...