This document describes how computer vision–powered predictive maintenance improves equipment reliability, safety, and operational uptime. By continuously monitoring assets with AI-enabled cameras, organizations can detect early signs of failure, reduce mean time to know, and schedule preventative maintenance before breakdowns occur. The solution provides real-time alerts, risk prioritization, and automated coordination with maintenance systems. Benefits include significant reductions in downtime, maintenance costs, spare parts inventory, and safety incidents. By processing large volumes of unstructured visual data faster than humans, AI-driven predictive maintenance enables organizations to protect expensive assets, extend equipment life, and reduce the massive costs associated with unpla

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