P10 : Integrating A CNN With An Autonomous Drone To Facilitate Visible Water Pollution Monitoring


Students Anish Rathod
School HDSB - Burlington Central High School - Burlington
Level Senior 11/12 - Grade 11
Group Group 7 - Engineering and Computing III
Abstract The purpose of this project is to develop a drone system that leverages CNNS and mapping software to classify water pollution. Water pollution is emerging as an ever-growing global concern that impacts the lives of many worldwide. Due to this, water monitoring tools are integral to mitigate its effects. In addition, drone systems are more efficient than ground-based water monitoring methods.
Awards
Group Award Prize
Dillon Consulting AwardsDillon Consulting Science and Engineering Award$ 250
Merit AwardsBronze Merit Award$ 60
Laurentian Chapter of SETAC AwardsLaurentian Chapter of SETAC Award$ 100
Certificate