[VI-479] Analysis of the influence of inspection skills on diagnostic results in bridge diagnostic imaging using ultra-high resolution cameras
Keywords:Bridge inspection, Diagnostic imaging, Years of inspection experience, Precision, Recall, F value
Infrastructure and Transport says it is important to prevent and preserve maintenance for bridges that are rapidly aging. Periodic inspection is required for all bridges, but Proximity visual inspection currently being done is not efficient because money and people do not have enough. Many alternative systems are being developed. In this research, we propose "Image Visual Diagnostic System" which diagnoses damage by looking at images taken by a super high resolution camera. In this issue, we focused on the problem of "influence of inspection skills on diagnosis results" that occurred when we proposed this system, and evaluated the effect using the accuracy rate, recall rate, and F value.
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