ECOBOT
CHALLENGE SELECTED :
LEVERAGING AI/ML FOR PLASTIC MARINE DEBRIS CHALLENGE
TEAM MEMBERS
It is believed that at least eight million tons of plastic end up in our oceans every year and comprise 80% of all marine debris present—from surface waters down to deep-sea sediments. Our challenge is to leverage Artificial Intelligence/Machine Learning to monitor, detect, and quantify plastic pollution and increase our understanding about using these techniques for marine debris solution.
DESCRIBE YOUR SOLUTION
Our solution is based on the SWARM Intelligence that is the collective behavior of decentralized, self-organized systems, natural or artificial.
Our solution is mainly divided into
And ECOBOT can operate in two cases:
where there is no special environmental condition for the Swarm to operate in.
the SWAT is activated only in case of natural disaster occurrence
DESCRIBE YOUR CHALLENGE
PRACTICAL MODEL �
Razer Clear bot Design copy-Rights
AI MODEL
ECOBOT workflow
GUI
Tracking map
Swat screen
Disaster map
Sensor reading
Select mode screen
VISUALIZATION
All Plastic debris
Plastic debris
Microplastic debris
RESOURCES
https://github.com/MostafaBoshta/EcoBot
https://sites.google.com/view/ecobot-gui/home