Anomaly detection plays a crucial role in IoT applications, especially in predictive maintenance and monitoring systems. This post explains how to use sensor data to identify anomalies, set thresholds for real-time alerts, and leverage machine learning techniques for enhanced accuracy. Examples include detecting abnormal temperature spikes or unusual light patterns in a monitoring system.