This whitepaper explains how industrial organizations are automating thermal inspections using autonomous mobile robots and drones equipped with thermal cameras. It contrasts manual infrared inspections—limited by labor availability, inconsistency, and infrequent data collection—with automated approaches that deliver repeatable, high-frequency thermal data. The document shows how consistent inspection routes, AI-driven analysis, and cloud platforms improve early fault detection in assets such as motors, pumps, and drives. Automated thermal inspection enables a shift from time-based to predictive maintenance, reducing unplanned downtime, maintenance costs, and safety risks while improving asset performance and data quality for reliability programs.

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