Discover the Power of Scene Masking: Precision Control for Enhanced Surveillance

Precision and accuracy are critical with video surveillance, video monitoring, and virtual guarding. Every video scene has different levels of complexity and requirements for security. Security operators often need the ability to tailor video monitoring down to the pixel. Scene masking is a powerful feature that gives you control over where artificial intelligence algorithms apply to your incoming surveillance video footage.

At Evolon, we understand how important it is to be able to focus your video monitoring efforts on the areas that matter most while ignoring the noise. Our cloud-native AI platform, Evolon Insites, includes advanced scene masking functionality, empowering users to apply masks to specific regions within active video feeds. With integrations to many network video recorders (NVRs), video management systems (VMS), and monitoring operations automation software – applied masks within Evolon Insites can be easily used across your security tech stack.

What exactly is scene masking, and why is it a game-changer in the proactive security space?

Scene masking allows users to selectively block certain areas within a video feed from triggering AI detection and analysis. Think of it as a virtual blindfold: by defining zones where you don’t want AI algorithms to run, you can increase accuracy and direct the AI’s focus solely on areas of interest.

1. Enhanced Accuracy: By restricting AI analysis to specific regions, scene masking significantly reduces false alarms caused by irrelevant motion within non-monitored zones.
2. Customized Monitoring: Every scene brings unique challenges, so your team can uniquely apply scene masking for each actively monitored site. Whether it’s sensitive areas where movement detection is unnecessary or static regions where constant motion occurs (like waving trees), scene masking gives you control.
3. Increased Efficiency: Focus your security operators only on the areas of interest. With fewer false alarms, your team can improve response time and be more proactive. With scene masking enabled you’ll lower system overhead and overall bandwidth usage, optimizing your security system.

• Poor Camera Angles: Ignore unnecessary scene complexity and noise from camera angles that see more than is needed for proactive security. (rooftops, wide angles, large field of view)
• Industrial Sites: Monitor specific equipment while disregarding non-critical motion in the background.
• Commercial Properties: Exclude areas like sidewalks or public spaces from surveillance and focus on only your property.

Scene masking is a powerful way to impact the accuracy of your video monitoring and virtual guarding operations. With scene masking enabled, you can focus AI-powered video analytics exactly where needed, minimizing false alarms and maximizing operator efficiency.

Are you interested in seeing scene masking and discovering how cloud-native AI can enhance your perimeter security?

Connect with one of our expert team members today!