Inspiration
In our school, we always see waste products in the wrong category of bin. We often see recyclable items like paper and plastics in trash bins, when they should be in the recycle bin. This is a major inefficiency for our environment, and we can solve this issue with a waste system with seamless waste detectors.
What it does
With IQBin, we can show waste items to a specialized camera where we use our AI model to detect the category of waste product. Waste items can be categorized with three different types of products: Trash, Recyclable, or Biodegradable.
How we built it
Some technologies we used to create the model include C++, Arduino, Servo Motors, We were able to allow the garbage can to recognise the different types of garbage using PyTorch and Yolo V5
Challenges we ran into
We ran into issues with the development of our AI model, but we were able to solve the model's issues with the use of debugging.
Accomplishments that we're proud of
We used NumPy and MatPlotLib to visualize our data using pie charts, graphs, and used data aggregation techniques to predict future pollution levels using the amount of waste detected and the different percentages for the three waste categories.
What we learned
We learned a lot about robotics and arduino usage, as well as using matplotlib to visualize live data.
What's next for IQBin
We can extend the waste products by training our AI model with more data
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