Examples of Data Science Utilization in the Construction and Social Infrastructure Sector! Case Study on Improving Inspection Efficiency
We will introduce a case study of improvement in abnormal detection of overhead wires using deep learning. At Tokyo Electric Power Grid, abnormality detection was performed by humans visually inspecting aerial footage as part of overhead wire inspection and equipment maintenance work. The visual confirmation involved slow playback of the aerial video at one-tenth speed, making the inspection process very costly, and there were also issues with accuracy due to missed detections. To address this, a model was developed using deep learning to determine abnormalities and normal conditions from image data. By quantifying and visualizing the "abnormality" of the overhead wires, AI was able to identify areas that required human visual confirmation, resulting in a reduction in the costs associated with visual inspections.
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【Case Overview】 ■Industry: Social Infrastructure ■Business: Operations and Maintenance ■Challenge: Improvement of Inspection Efficiency ■Analytics and AI Solution - Developed a deep learning model to determine anomalies/normalcy from image data - Input captured image data to quantify/visualize the degree of abnormality in overhead wires and create reports - By inspecting only the locations with high abnormality scores, significantly reduced the labor required for visual inspections 【Effects】 ■Reduction in costs of visual confirmation ■Initially reduced inspection work time by 50%, aiming for an 80% reduction by 2021 through gradual evolution *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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