Green Bin
A Smarter Way to Recycle Waste
Did You Know 80% of the World’s
Recyable Trash Ends up in Landfills?
- Green Bin is a Trash Bin that is able to detect and sort any waste placed inside of it to its
appropriate recycling categories.
What is Green Bin?
Screen 1:
- Inform users of the
status of the bin.
Waste Tray:
The designated
location where
waste is
deposited at
Screen 2:
Provide users
with recyling
information on
the trash they
had just placed
in the bin.

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- Green Bin aims to reduce the problem of improper waste disposal in trash bins and contamination by automatically
detecting and sorting waste into appropriate recycling categories for the users which in turns, minizes waste sent to
the landfill.
- Problem that Green Bin Aims To Solve:

How Does Green Bin Work?
- When a user places their waste inside the bin’s waste tray, the
camera will detect the motion of that act using a frame differencing
alogrithm. - Once a motion is detected, the AI in the bin will detect which type
of trash it is. - Then, the 2 servo motors (One for rotating the base and the one for
rotating the tray) will rotate and dump the trash in its designated
recyling categories.
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- Electronics Used in the Green Bin:
- The Green Bin run on Raspberry Pi 5 because of its processing power. It does not need the internet access but does requires
an electrical outlet. The rest of the key components includes a Raspberry Pi Camera V3, Servo Driver, HDMI Screen, LCD
Screen, and 2 servo motors. The electronics are stored at the back of the bin, safe from human touch.

- The AI can detect 20 classes of trash including: Aluminum, Can, Cardboard, Cutlery, E-waste, Glass bottle, HDPE bottle,
Juice box, Paper, Paper cup, Paper plate, PET bottle, Plastic bag, Plastic container, Scrap paper, Snack bag, Squeeze tube,
Straw, Styrofoam.
How Does the AI System in Green Bin Work?
- Green Bin uses two AI models: the first is designed to detect the type of trash, and the second specializes in identifying food
waste. Both models are trained on datasets collected from real-world samples and online sources. The training process was
conducted using Google Colab, utilizing YOLOv8's algorithm.
- Internet Images Detected by Green Bin AI
- Video Footage Detected by Green Bin AI
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Where is it Used?
- The Green Bin is placed on our school’s campus. Every week, we take the sorted trash from the Green Bin and bring it to
Recyling Day, a local recyling factory. Currently, the Green Bin has been collecting trash in school for 3+ months and recyled
over 2000+ pieces of trash (based on the picture the Green Bin has taken at trash detection stage). We plan to build and place
more of these bins in other public locations to collect more data and recyle more trash.
3+
Month
Placed in School
Piece of Trash Recycled
(Based on the picture the Green Bin has taken at each trash detection stage)
2000+
In the first 20 days, we programmed the bin to take a photo and record where the trash goes at each disposal. Then, we
manually we through these records to count the amount of trash the bin sorted correct and wrong. Finally, we put these data in
a spread sheet and plotted graphs to represent them.
- Data Collection:
Meet the Team:
Patawee Wangthumboon:
- Role: Founder and Engineer
Taewon Kang:
- Role: Coordinator and Data collector