Pixuate
Factory & Industrial Analytics

Worker Fall Detection

Detects when a worker falls or collapses on a factory floor, construction site, or warehouse and raises an immediate alert so first-aid or emergency response is dispatched without delay. Posture analysis distinguishes a genuine fall from someone deliberately lying down or working at floor level, keeping false positives low. Each event captures a timestamped image and video clip, and one edge device can cover multiple cameras for continuous 24/7 monitoring — cutting the time an injured worker goes unattended.

Key Features

Discover the powerful capabilities that make Worker Fall Detection stand out

Detects sudden fall or collapse of a person

Distinguishes intentional lying down from accidental fall using posture analysis

Immediate alert to supervisor or safety team on fall detection

Works on factory floors, construction sites, and warehouses

Evidence image and video clip captured at time of fall

Low false-positive design — filters deliberate floor-level work

Multi-camera deployment from a single edge device

Edge deployment for continuous 24/7 monitoring

Technical Specifications

Detailed technical information about Worker Fall Detection

Camera:2MP+ IP CCTV (RTSP), overhead or elevated view preferred
Deployment:Edge device or on-premises server
Output:Fall event, location, timestamp, image and video clip

Prerequisites & Limitations

What Worker Fall Detection needs to run reliably, and the operating limits to plan for.

Prerequisites

  • Camera: 2MP+ IP/RTSP overlooking the floor area where falls may occur
  • Adequate illumination — pair with an IR illuminator for low-light areas
  • Stable bandwidth between camera and edge/server — roughly 4–8 Mbps per 2MP H.264/H.265 stream
  • Mounting and angle that keep each worker's full body visible for posture analysis
  • Stable power and network at the deployment point

Operating Limits

Factor Edge Server
Incident / event capture rate≤ ~5 events per second≤ ~20 events per second
Concurrent camera streams per node1–4 streams (Jetson TX2 / Orin)8–16+ streams
Minimum person size in frame≥ ~40 px height≥ ~40 px height
Event-to-alert latency< ~1 s on-deviceDepends on network round-trip

Indicative figures — actual limits depend on hardware, scene, and configuration.

Related Knowledge Base

Learn about the hardware and infrastructure components used in a Worker Fall Detection deployment.

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