Cloud Computed Machine Learning Based Real-Time Litter Detection using Micro-UAV Surveillance

Litter can remain undetected and uncollected for extended periods of time, leading to detrimental consequences on the environment. Solutions to mitigating these effects focus on severe legal action directed towards offenders or litter collection events, all of which are not automated. Therefore, to reduce the amount of manual labor required for current solutions, this project aims to implement an automated micro-unmanned aerial vehicle (UAV) capable of real time litter detection from UAV surveillance footage using cloud-based machine learning.