Welcome to TrashLink

Welcome to TrashLink, by Enron 3, a more ethical and environmentalistic version of our predecessors. Enron 3 is taking the lead over our competitors in the environmental market by creating the solution to urban waste management, the TrashLink.

Challenges we ran into

The largest issue was the Raspberry Pi. Since it runs on raspbian, a desbian distribution for the Raspberry Pi, there were many compatibility issues with all the packages we need to use. Luckily we were able to find fixes and alternatives to issues we faced.

How does it work?

Using a motion sensor, the raspberry pi detects if there is an object placed on the platform. Once detected the webcam takes a picture using the imageio library. We then send that picture to our tensorflow lite deep learning model which ends up classifying if it is trash or recycling. Once that is done, depending on the model, either an led will flash telling the user which side to put it in or the platform itself will turn sorting the trash automatically. Once the item is in the bin, our ultrasonic sensors calculate how much garbage is in the bin using the distance from the trash. That data is then sent to our database which can then be monitored via our website http://enron3.tech and lets the owner of the trash cans know how full they are and also the directions to get to said trash can incase of hardware issues. All of those web services are hosted on OVHCloud using Kubernetes and Docker with auto scaling enable making our ecosystem even more green.

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