AI-Based Event Detection uses artificial intelligence to identify specific events or changes within data streams such as video, audio, sensor readings, or system logs. Instead of continuously reviewing raw data, AI models recognize patterns that correspond to predefined or unusual events and can trigger alerts or automated responses.
The technology is useful when events need to be detected quickly across large volumes of data. For example, a video system can identify a fall, intrusion, collision, or crowd formation, while industrial AI can detect equipment abnormalities from sensor patterns. It commonly relies on machine learning, computer vision, anomaly detection, and real-time data processing.
