Strategic Pattern Monitoring: AI for Safer and More Reliable Industrial Operations

Session details:

Condition monitoring and sensor alarms are essential in industrial operations, but they often miss gradual drifts and human deviations that create downtime, shorten equipment life, or compromise safety. Strategic Pattern Monitoring (SPM) is an AI-based approach that learns baseline patterns across machines, workflows, and operator activities. By analyzing video and sensor inputs over time, SPM detects anomalies such as skipped maintenance steps, lubrication intervals performed too quickly, blocked egress routes, or unsafe congestion around equipment. Each event is recorded with a verifiable timestamp, providing digital evidence that supports reliability reviews, audits, and corrective action.

SPM complements existing vibration and sensor monitoring with a fail-safe secondary layer focused on human and organizational factors. The result is improved consistency, reduced downtime, extended equipment life, and stronger safety culture. Attendees will learn how to integrate SPM into industrial environments using existing cameras and sensors, and how it scales across sites to provide benchmarking and automated baselines.