Recycle Classifier
Hackathon project: Segregate dry waste using CNN and IoT (Raspberry Pi, PiCamera) for live image capture, enhancing waste management.
Created on 26th May 2024
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Recycle Classifier
Hackathon project: Segregate dry waste using CNN and IoT (Raspberry Pi, PiCamera) for live image capture, enhancing waste management.
The problem Recycle Classifier solves
We are making an IOT based model using Raspberry PI which segregates given objects into one of the following:
*Plastic
*Paper
*Cardboard
*Metal
*Glass
This can be used to segregate dry waste on a conveyor belt w/o human intervention from a centralized control center.
Challenges we ran into
Choosing the appropriate OS version for the Raspberry Pi is crucial for ensuring compatibility and optimal performance of the Pi camera.
Additionally, transferring a Convolutional Neural Network (CNN) model to the Raspberry Pi presents challenges such as optimizing the model for the device's limited computational resources and managing memory constraints.
These factors require careful consideration to ensure smooth integration and operation of both the camera and the CNN model in the project.
Tracks Applied (1)
Internet of Things
Technologies used