o-vad-de33dcc2·1 events·first seen Aliases: O-VAD
Researchers introduce O-VAD, a training-free agentic framework for Industrial Video Anomaly Detection (IVAD) that tracks spatial-temporal object state trajectories and reasons over them to identify anomalies without domain-specific knowledge or retraining on normal clips. The system is designed to handle the complexity of industrial settings with strict physics and procedural constraints, outperforming frontier VLMs, agentic frameworks, and fine-tuned traditional VAD methods on three IVAD benchmarks. The approach emphasizes interpretable reporting of anomaly processes and types, mimicking human inspector reasoning.