HotTrash

Inspiration

We're lazy millennials who want technology to do all our work for us. We wanted to say goodbye to using brain power when making decisions about which bin to put your half eaten chip bag in.

What it does

The HotTrash bot uses Computer Vision, courtesy of Clarifai, to detect objects in front of it, and then classify it into 1 of 3 categories--Recyclable, Compost, Landfill. Then it tosses it into the right bin, and so you don't have to worry about it. Building managers can monitor the health of their HotTrash fleet with an easy to use UI. The UI displays the trash cans that are full and their locations. Along with this we set up a Twilio system, where a manager or such would get a notification that a certain can in their fleet was hot and trashy (ready to be picked up).

But what if you're not the owner of a big, rich telecommunications company? There's an app for that. We built an android app that will let you do the hard, robotic, yet rewarding work for yourself, with no surcharge!

How we built it

We used a lot of technologies. For our back end, we used Python, with OpenCV, Clarifai, and Firebase. The mobile app was built in Android. The actual hardware was built using an Arduino, servos, and an IR distance sensor. The rig was built using some cardboard, duct tape, and caffeinated imagination. Does anyone ever even read these posts? I'm tired, I'll just lorem ipsum the rest and see if anyone notices. Comment if you made it this far!

Challenges we ran into

HARDWARE IS HARD. It's also very aptly named.

Accomplishments that we're proud of

We made a bunch of bits do some pretty cool things as mentioned before.

What we learned

HARDWARE IS HARD. It's also very aptly named.

What's next for SmartTrashCan

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Built With

Submitted to

T-Mobile IoTHack
- Winner 3rd

Created by

I worked on the clarifai prediction API, message buffering on the arduino, real-time firebase queries and updates, the historical data store, and the react web app.

Tejasvi Nareddy
I worked mainly on Arduino: the software for ultrasonic sensor, servo, and the serial messaging to&from python; the framework of the sorting machine

Kai-Wei Chang
I worked majorly on the Arduino, which involved communication between the micro-controller and python APIs in real-time, controlling servo-motors, ultrasonic sensors and also helped building the body of machine

Shobhit Jain
I worked on the Android app, back end python with clarifai, open cv, camera, and firebase logic. I also built the chasis for the machine.

Sujeeth Jinesh
Hacker, Developer, Student. Georgia Tech Class of 2019.
I worked on the front end implementation and design, the ReachJS web app, the heat map for data visualization, Firebase integration, and the historic data store.

ctmb