DepthAnomaly Detection

Depth Anomaly Detection is an anomaly detection method that focuses on depth information, aiming to identify abnormal objects or events in scenes by analyzing 3D depth data. This technique utilizes data acquired from depth sensors, combined with advanced deep learning algorithms, to achieve precise monitoring and anomaly recognition in complex environments. Its primary goal is to enhance the accuracy and robustness of detection, reduce false positives and false negatives, thereby playing a significant role in areas such as intelligent surveillance, industrial inspection, and autonomous driving.