Automated river plastic monitoring Using..
summary
A project uses deep learning to detect and monitor plastic pollution in rivers by processing images or video to automatically identify plastic debris. The work covers building and training convolutional neural networks for detection, and deploying this automated monitoring pipeline to track river plastic over time.
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chapters (8)
- 0:00Automated river plastic monitoring
- 2:55Global river plastic crisis
- 7:27Computer vision for plastic detection
- 12:02Theory versus experiments
- 18:17Training models and performance
- 23:54Feasibility and deployment
- 26:48Future steps and applications
- 28:53Conclusion
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