What is AI Video Monitoring, and how does it work?

AI Video Monitoring is an advanced video surveillance service integrating Artificial Intelligence (AI) with a video surveillance system to enhance monitoring accuracy, reduce false alarms, and automate threat detection.

How AI Video Monitoring Works

Event Detection: The customer’s video surveillance system detects an event and sends video to the monitoring platform.

Video Retrieval: The monitoring platform retrieves the associated video clip for analysis.

AI-Based Alarm Filtering: An AI algorithm analyses the video and evaluates whether the alarm is a “True Positive” (genuine threat) or a “False Positive” (non-threatening event).

Operator Action: If the AI determines the alarm is a true positive, an alert is sent to a monitoring centre for further action.

Key Components
Uses machine learning to detect, classify, and track objects such as people, vehicles, or anomalies in video streams.

False Alarm Reduction: AI helps filter out false alarms caused by environmental factors (e.g., shadows, animals, leaves) to improve monitoring efficiency.

Object Detection & Classification: AI models identify specific objects in video streams, distinguishing between humans, vehicles, and other elements.

Benefits of AI Video Monitoring

Reduced False Alarms: Up to 95%* fewer false alarms, allowing security teams to focus on real threats.

Improved Operator Efficiency: Improved Operator Efficiency: AI verification helps security teams avoid alert fatigue by only presenting verified alerts.

Scalability: Cloud-based AI systems allow easy integration with multiple cameras and monitoring sites without requiring extensive hardware.

Proactive Threat Detection: AI continuously learns from video data, improving accuracy over time.

Cost Savings: Reducing the need for physical guards and unnecessary alarm responses. Improves compliance with Right to Disconnect legislation.

Challenges & Considerations

Potential Missed Alarms: AI-based systems are not infallible and may sometimes fail to detect genuine threats.

Environmental Limitations: AI effectiveness depends on lighting conditions, camera resolution, and object size in the field of view.

Data Privacy & Compliance: AI video analytics must comply with data protection regulations when processing video.

Common Use Cases

Perimeter Protection: Continuous monitoring of secured outdoor areas to detect intrusions.

Manned Guarding Replacement: AI-driven monitoring for security operations that traditionally relied on on-site guards.

Comply with Right to Disconnect legislation: Improve compliance by stopping staff from being woken by calls about false alarms.

AI Video Monitoring refers to integrating Artificial Intelligence (AI) with video surveillance systems to enhance the effectiveness and efficiency of monitoring tasks. It employs advanced AI algorithms, such as machine learning and deep learning, to analyse real-time video streams for specific events, objects, or behaviours.