AntiPlasti
AntiPlasti: Reducing Oceanic Pollutants
Reducing the plastics surrounding islands, along with weather prediction, resulting in climate change resilience and environment well-being, one step at a time.
This project was developed alongside team members Michael Ali and Qarun Bissoondial for the DadliHack 2.0 Hackathon.
Technologies and Hardware Used
Python | Digital Ocean | Raspberry Pi | Nodejs | Reactjs | Firebase Database | Javascript | HTML | CSS
How does it work?
There are three parts to this system.
- The image recognition model was built to detect plastics, glass, paper, rubbish, metal and cardboard in the ocean.
- Digital Ocean is used as a server to install the necessary requirements, and train the image recognition model.
- A raspberry pi, mounted with a camera, wrapped in a buoy, uses the server to send images and calls on the image recognition model to detect oceanic pollution.
The image and location of that pollution is sent to the AntiPlasti web app via the Firebase Database.
This will notify the government and community where the pollution occurs and result in the removal of this pollution leading to cleaner, safer areas and also reducing climate change via reducing the emission of greenhouse gases from the breakdown of plastics.
Features
| Completed | To Do | |
|---|---|---|
| Object Detection | ✔ | |
| Oceanic Pollution Monitoring | ✔ | |
| Location Tracking | ✔ | |
| Google Maps Integration | ✔ | |
| Push Notifications | ✔ | |
| Testing | ✔ | |
| Physical Deployment | ✔ | |
| Source Code | GitHub |
