WATER MONITORING ROBOT AND PH LEVEL CHECKING (DOMAINS / IOT)
Abstract
Railway track defect detection is vital for ensuring the safety and reliability of train operations and infrastructure. Traditional defect detection method soften suffer from missed detections, inaccurate localization, and limited capability in identifying
small-scale anomalies, particularly under complex environmental conditions. To overcome these limitations, this work proposes an improved track defect detection network based on YOLOv8, referred to as DSO-YOLOv8
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