Real-Time Object Detection in Tap Water Utilizing YOLOv8 for Comprehensive Contamination Monitoring
The study presents a real-time object detection system for tap water contamination, employing the YOLOv8 model to identify specific pollutants, including algae, ants, and sand. The presence of these pollutants poses significant risks to water quality and public health, particularly in urban settings...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/92/1/93 |
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