Robust Analog Gauge Reading via Virtual Point-Based Geometric Rectification and P2-YOLO-Pose

Key Points

• The study aims to enhance automated reading of analog gauges for better predictive maintenance and safety.
• Utilized virtual point-based geometric rectification techniques
• Employed P2-YOLO-Pose for gauge detection
• Focused on overcoming limitations of traditional computer vision methods
• Demonstrated improved accuracy in reading analog gauges
• Enhanced reliability of predictive maintenance processes
• Contributed to safer monitoring in industrial settings

Abstract