Massive landfill and waste problem
What it does
Identifies recyclable materials using computer vision
How we built it
Using OpenCV in Python to contour and crop single objects within an image and using Google Cloud Vision API for identification. As a prototype for testing, we began building An iOS app that uses the built-in camera to detect recyclable materials
Challenges we ran into
Precise image detection and identifying location of objects
Accomplishments that we're proud of
Classifying recyclables and non-recyclables. Beginning a foundation for a solution.
What we learned
The gravity of the problem we are dealing with in terms of waste and sanitation. We learned a lot about what computer vision is capable of and how it can be applied when improvements in accuracy
What's next for
Waste Division Segregating and identifying recyclables in a larger space such as a landfill. Future features which would make the application practical and usable in a real-world context such as linking robotics to clean up landfills.