Dunk the Mess

A device that makes trash bins to " smart bins". This device helps you to enjoy the fun of basketball and make the bin talk!! Also it automatically reports whenever the bin is full.

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Dunk the Mess

Make your trash bin to "Smart bin"

Our Team

Inspiration

Initially , we were quite uncertain about what to develop that replicated the fun elements of basketball. Later, we thought to ourselves why not associate the fun of basketball for the greater good of the planet. The massive amount of litter produced everyday in public places , it's subsequent consequences as well as the lack of effort from each of us inspired us to create Dunk the mess, that encourages people to dispose their litter more efficiently by making the process enjoyable and rewarding. problem

What it does??

Dunk the Mess is a device that can be used to upgrade a garbage bin.
It can be easily attached on top of a normal bin to upgrade it into a smart bin with following features.

  • Slam dunk :-People can try to toss the litter through the hoop of bin from a distance just like the game of basketball. The camera will detect the distance from where the litter/plastic bottle is tossed and it'll announce your score through the speakers.
  • Overflow alert :-It automatically detects when the bin is full and alerts the concerned people, so that they can empty the bin at correct intervals.
  • Talking bin :-When a trash falls into the bin it's understood that someone in person is near the bin, so at this time the device speaks about the common concerns of people related to covid.

    Altogether, it helps to keep our environment clean by attracting people to make an effort to come near the bin and trash properly by engaging them with fun and enjoyable activities in an economical way.

How we built it?!

It basically consists of a camera, ultrasonic sensor and a speaker, these are integrated using raspberry pi.

  • The scores are calculated on the basis of distance from the bin at the time of throw. This is implemented by object detection using python and opencv.
  • Text to speech libraries were used and connected to the speaker to enhance the device with voice actions
  • The ultrasonic sensors detect whether the litter has fallen correctly or not and also detects if the bin becomes full and sent alerts notifications.
  • The covid 19 facts and dataset was collected from kaggle.

Challenges we ran into

We are a group of 3 girls coming from different parts of India and we had our own limitations with communication. We managed to overcome it by constantly contacting each other and sharing our ideas. Also, we are a group of beginners that has just stepped into the world of hackathons and our biggest challenge was that we lacked proper skills for automation on which our idea was completely depended on. However, during this short span of time, we learned a lot and improved our skills .

Accomplishments that we're proud of

We are happy that we were able to implement a real viable model for our idea. Although during this pandemic we were not able to buy and integrate the components, during this 48 hours we were able to hard code the necessary programs for working of our model. But to compensate our grief we made a 3D model of our product installed in a bin.

What we learned..

We got to learn so much in this limited time and really pushed ourselves further .We got a chance to learn and grow together.
We learned jina, how to automate the components like camera, sensors etc using raspberry pi and python, object detection and face detection using opencv and machine learning.

What's next??

Next up, we have to learn more about automation and jina to make the bin more interactive and act as a chatbot which talks with the power of AI . We have to improve the design of our bin and make if more cost effective.

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