Introduction

Fall Detection automatically identifies slip, trip, and fall incidents by analyzing live video streams from surveillance cameras. Instead of relying on witnesses or manual reporting, the system detects when a person unexpectedly falls and immediately generates an alert, helping responders provide timely assistance and reduce the consequences of workplace accidents.

Whether in industrial facilities, healthcare environments, commercial buildings, or public spaces, Fall Detection enhances situational awareness and supports a safer environment for everyone.

Key Benefits

Rapid Incident Response
Immediately alert security personnel or supervisors when a fall is detected.
Improve Workplace Safety
Reduce response time to slip, trip, and fall accidents.
Protect Employees and Visitors
Monitor work areas and public spaces continuously without manual observation.
Reduce Liability Risks
Capture incidents with video evidence to support investigations and compliance.
24/7 Automated Monitoring
Continuously monitor multiple locations using existing surveillance cameras.

Typical Applications

• Manufacturing facilities
• Warehouses and logistics centers
• Hospitals and healthcare facilities
• Nursing homes and assisted living centers
• Shopping malls
• Hotels
• Office buildings
• Schools and universities
• Airports and transportation hubs
• Public facilities

How It Works

The AI continuously analyzes human posture and movement from surveillance cameras to recognize slip, trip, and fall events within configured detection zones. When a fall is detected, the system automatically triggers an event that can initiate on-screen notifications, alarms, recordings, or integration with emergency response and security workflows.

Features

• AI-based slip, trip, and fall detection
• Real-time emergency alerts
• Continuous monitoring of employees, visitors, and customers
• Configurable detection zones
• Adjustable confidence thresholds
• Event recording and search
• Integration with alarm and notification systems
• Supports live monitoring and post-incident investigation