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Stadium/Arena

Stadium/Arena People Safety

LinkerVision turns a venue's existing camera network into a 24/7 VLM-based people-safety system. On live feeds it detects when a spectator or staff member falls or collapses in stands, concourses, or walkways and people signaling distress by waving or calling for help, so responders can be dispatched quickly, and it continuously watches for early-stage fire and smoke across the venue.

VLM output

A wide static shot of an empty stadium shows a small crew working along the edge of the pitch, with a mobile crane, a forklift, staging trusses and stacked equipment cases being moved. Across the four frames the workers shift positions and the forklift moves along the track, while the stands remain completely unoccupied.

  • Crowd DensityEmpty
  • People Count8-12
  • Crowd Safety RiskLow
  • Stands OccupiedNo
  • Event In ProgressNo
  • Heavy Machinery PresentYes
  • Pitch IntrusionNo
  • Safety Vests VisibleNo
  • Blocked Exit DetectedNo

Customer challenges

1

Falls and medical episodes in large crowds are easily missed, and reaching a specific person quickly in a packed venue is hard; in large crowds, people in trouble can't easily reach staff, and manual monitoring can't cover every section; and fire in a packed venue is catastrophic, while point detectors are slow in large open bowls and concourses.

Customer benefits

Faster emergency response, earlier hazard detection, broader venue coverage, and improved safety for spectators and staff.

Safety incidents depend on staff observation or nearby reports, causing delays in detecting and locating emergencies across large crowds.

AI continuously monitors the venue and alerts teams to falls, distress, fire, and smoke in real time with precise location information.

Detect safety incidents the moment they happen and get help to the right place faster.

Key features

Incident Detection — Person Fall

Detects a person falling and raises an incident alert.

Distress Monitoring (waving)

Detects people waving for help or showing signs of distress.

Fire & Smoke Detection

Detects fire and smoke early in monitored areas.

Before & after

Before Safety incidents depend on staff observation or nearby reports, causing delays in detecting and locating emergencies across large crowds. After — with Linker AI Nexa AI continuously monitors the venue and alerts teams to falls, distress, fire, and smoke in real time with precise location information.