A security team responsible for many properties could not watch every feed at once. The proposed system runs detection at each site and forwards only meaningful events to a central console, so operators respond to incidents rather than scanning screens.
The operator's properties each had dozens of cameras feeding a video management system, monitored by a small central team overnight. In practice, operators watched a rotating subset of feeds and relied on staff on site to call in incidents.
Recurring concerns included unauthorised access to back-of-house areas, loitering around parking structures and loading bays, and after-hours entry to pool and gym facilities. Investigating any of these meant hours of footage review after the fact.
Leadership wanted a monitoring model where the console surfaced what mattered, with a clear audit trail of what was detected and how operators responded, and without sending full video streams from every property to a central location.
Camera estates differed between properties: resolutions, mounting heights, lens types and lighting conditions all varied. Detection models needed to perform reliably across this range without per-camera tuning.
Zone definitions were specific to each property and changed when layouts or operating hours changed. Rules had to be configurable by the security team without engineering involvement.
Bandwidth between properties and the central console was limited and shared with guest services, ruling out streaming raw video for central processing.
Guest privacy and local regulations required that analytics operate on footage locally, store only event metadata and short clips centrally, and avoid identifying individuals.
An edge server at each property ingests RTSP streams from the existing video management system and runs person and vehicle detection with multi-object tracking.
Zones, lines, schedules and dwell thresholds defined per camera in a web interface, evaluated locally to produce intrusion, loitering and after-hours events.
Only event metadata and short evidence clips are sent to the central platform over an encrypted channel, keeping continuous footage on site.
A React console that queues events by priority, shows the relevant clip and camera, and records operator acknowledgement and outcome.
Cloud services distribute model and rule updates to each site, monitor device health and aggregate event statistics across the portfolio.
Surveyed camera estates at pilot properties and selected representative feeds covering the full range of resolutions and lighting conditions.
Deployed containerised detection and tracking services on edge servers, validated against recorded incidents the security team had already documented.
Worked with site security managers to define zones and schedules, iterating rule thresholds to balance missed events against operator fatigue.
Launched the central console with the pilot sites, running in parallel with the existing monitoring routine before extending to further properties.
Established reporting that summarises events, response times and false-alarm review per property for the security leadership team.
Operators respond to prioritised events rather than scanning rotating camera feeds.
Continuous footage stays on site; only event metadata and evidence clips are centralised.
Security managers adjust zones and schedules themselves as property layouts change.
Every detected event carries an audit trail of operator acknowledgement and outcome.
Person detection, multi-object tracking and zone intelligence that turn passive camera estates into active monitoring systems.
PPE compliance, restricted access and unsafe-behavior detection that help safety teams intervene before harm occurs.
Real-time video understanding, event detection, behavioral analysis and multi-camera analytics.
We can walk you through how this approach would translate to your environment and what it would take to pilot it.