Corrosion of electrical utility infrastructure represents a major operational challenge that currently relies on labor-intensive manual inspections. This project aims to develop an automated machine learning system to detect and assess corrosion using publicly available street-level imagery, enabling frequent, low-cost monitoring across the distribution network. The proposed methodology will leverage recent advances in object detection […]
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