AI Video Monitoring
Managed AI Video Monitoring Services
Crush False Alarms
What are the benefits of using AI Video Monitoring for false alarm reduction?
- Significant Reduction in False Alarms – Evolon’s AI-powered threat detection and behaviour analytics can reduce false alarms by up to 95%. This is achieved by filtering out common outdoor disturbances such as automobile light reflections, inclement weather, and wildlife, ensuring that only genuine threats are flagged.
- Enhanced Operator Productivity – Evolon directly contributes to operator productivity by minimising fatigue and improving morale. It only sends verified alerts to operators, enabling them to make faster and more accurate decisions.
- Scalable & Cost-Effective: Evolon’s cloud-based AI platform requires no on-site hardware. It allows businesses to quickly add cameras, network video recorders (NVRs), and video management systems, enabling them to scale from one camera to thousands.
- Premium Service Offerings: Evolon offers premium services such as cloud video storage, forensic search, and behaviour monitoring. Regular quarterly system updates ensure continuous improvement of AI capabilities and the addition of new services like loitering detection
- Maximise Resource Allocation: Evolon’s advanced algorithms minimise false positives and maximise resource allocation, allowing organisations to protect assets with fewer cameras and less infrastructure. This helps reduce costs while maintaining high detection and classification accuracy.
- AI Video Monitoring: Evolon provides actionable intelligence with pinpoint accuracy, improving reaction times and streamlining decision-making processes. This proactive approach helps prevent breaches or interruptions to business operations, ensuring business continuity.
How does AI Video Monitoring Handle Inclement Weather?
Evolon addresses environmental factors that commonly contribute to false positives when monitoring video surveillance systems. Specifically, Evolon’s advanced video analytic and AI platform are designed to accurately detect people and vehicles while ignoring nuisances such as:
- Wildlife: Traditional video monitoring systems often trigger false alarms when animals move within the monitored area. Evolon’s technology distinguishes between wildlife and genuine security threats, reducing unnecessary alerts.
- Weather: Conditions such as rain, snow, and blowing leaves can significantly increase the number of false alarms. Evolon’s solutions are designed to recognise and disregard weather-related movement, ensuring that only relevant security events are flagged.
- Headlight Reflections: The reflection of automobile headlights can also trigger false alarms, especially in outdoor environments at night. Evolon’s AI-driven analytics can differentiate between such reflections and actual security breaches, further enhancing threat detection accuracy.
AI Video Forensic Search
Evolon leverages AI-driven metadata to enhance forensic search capabilities, making the process more efficient and accurate. Here’s how it works:
- AI-Powered Video Monitoring: Evolon’s AI copilot continuously monitors video, analysing and tagging events with rich metadata. This metadata includes details such as the type of object detected (e.g., person, vehicle), behaviours, and other relevant attributes.
- Rapid Forensic Searching: The AI-driven metadata allows lightning-fast forensic searches. Investigators can swiftly sift through large volumes of video footage by searching for specific objects or behaviours. For example, they can filter video data to find all instances of a red car or a person wearing a blue jacket within a specified timeframe.
- Metadata Integration: Evolon integrates this metadata with platforms like Milestone’s Smartclient, enabling seamless forensic search investigations. This integration helps reduce the time spent on manual video review by providing precise search results based on AI-generated metadata.
- Real-Time Alerts and Historical Analysis: The system supports real-time threat detection and allows for historical analysis. Users can review past events, leveraging the AI-verified metadata to identify patterns, trends, and anomalies that might require further investigation.
