Water Quality Estimation using Computer Vision in UAV
- Resource Type
- Conference
- Authors
- Sharma, Chiranjeev; Isha, Isha; Vashisht, Vasudha
- Source
- 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Cloud Computing, Data Science & Engineering (Confluence), 2021 11th International Conference on. :448-453 Jan, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Computer vision
Image color analysis
Computational modeling
Water pollution
Unmanned aerial vehicles
Sensors
Water resources
Deep learning
Computer vision Remote sensing
Monitoring
Image resolution
Surface contamination Unmanned Aerial Vehicle (UAV)
Remote Sensing
Water pollution Investigation
decision-support system
Sensing
Floating
UAV imaging
participatory sensing
- Language
The color change of water in a water body is often a tell - tale sign of its health. To counter the sources of water pollution an Unmanned Aerial Vehicle is deployed over a water body which reports back any discrepancies by channeling the feed through Computer Vision based model. This allows for rapid steps to be taken by the Concerned Authorities to mitigate the current situation. Algae formation, floating impurities and color change of the water body are the scope of the project and each of these are detected with an independent Machine Learning Models. The UAV communicates and sends results based on the accuracy of these models.