AI in CCTV cameras transforms them from simple recording devices into intelligent surveillance systems that analyze video in real-time to detect threats and automate responses. This is achieved through machine learning and computer vision, which enable features like facial recognition, anomaly detection (e.g., loitering), crowd analysis, and behavioral analysis. Ultimately, this improves security, efficiency, and allows for faster responses compared to traditional systems. This video demonstrates the capabilities of an AI-powered CCTV camera, including human detection and event-based recording: 1m Key AI capabilities in CCTV cameras Facial recognition: Identifies known individuals and can trigger alerts when unauthorized individuals enter restricted areas. Anomaly and behavioral detection: Detects suspicious patterns like loitering, trespassing, or unusual behavior, such as someone trying to damage property or steal machinery. Object detection: Differentiates between people, vehicles, and other objects, and can be used for tasks like license plate recognition. Crowd and queue management: Analyzes crowd density and can trigger alerts or manage queues by notifying staff when thresholds are breached. Environmental monitoring: Some advanced systems can detect environmental changes like smoke or fire. Audio detection: Can analyze sounds to identify potential threats, such as breaking glass or gunshots. Benefits of using AI in CCTV Proactive security: AI systems can identify threats in real-time, enabling a proactive rather than reactive approach to security. Increased efficiency: AI can monitor situations continuously without human fatigue, and its ability to filter out non-events can significantly reduce the workload for security personnel. Data analysis: AI can analyze vast amounts of data to identify trends or patterns that may not be obvious to a human observer. Reduced false alarms: By analyzing behavior and context, AI can significantly reduce the number of false alarms triggered by traditional motion detectors.