Appearance search
Search visible attributes such as people, clothing, colors, accessories, and vehicles across supported ONVIF M cameras.
QXR combines AI-assisted video search, supported edge analytics, and access control context in one open, browser-based platform—helping security teams move from event to evidence faster.
Open camera ecosystem · Cloud, hybrid, or on-premises · Multi-site investigation

QXR does not force a closed camera stack. It brings supported camera intelligence into the same operating view as video surveillance and access control.
Search visible attributes such as people, clothing, colors, accessories, and vehicles across supported ONVIF M cameras.
Narrow video using supported camera-native events including intrusion, cross-line, loitering, person, vehicle, tampering, count, and object events.
Review video, doors, access events, alerts, rules, and system activity from one browser-based platform.
Use supported inputs and events to automate alerts and operational responses through QXR’s rules engine.
From signal to response
Supported camera analytics identify configured events at the edge.
QxControl turns those events into searchable Smart Tags and timeline context.
Operators narrow results across supported cameras, sites, and locations.
Review, save, share, or export relevant clips and connect findings to the wider security workflow.
Event availability varies by camera and analytic support. QxControl provides one place to filter supported events and review the video around them.






Use compatible cameras and officially tested analytics from i-PRO, Axis, Hanwha Vision, Pelco, Vivotek, and Bosch. Keep the hardware that fits, and modernize intelligence without accepting a proprietary camera mandate.
Supported ONVIF M appearance search
Cross-site and cross-camera Smart Tag search
Cloud, hybrid, and on-premises deployment choices
Save, share, review, and export relevant clips
Bring your camera environment, access requirements, and investigation goals. QXR will help map the supported analytics and deployment model that fit.