AssistPDA represents a groundbreaking advancement in video surveillance technology, being the first online LLM-based assistant for real-time anomaly prediction, detection, and analysis.

• Uses predictive capabilities to anticipate anomalies before they fully manifest
• Integrates real-time detection with continuous monitoring unlike existing offline approaches
• Provides comprehensive analysis of detected anomalies for security personnel
• Designed for practical deployment in real-world security environments

This research significantly enhances security surveillance systems by enabling proactive threat identification and response, making video monitoring systems smarter and more effective for security teams.

AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis