AI Model

Fall Detection for Immediate Care Response

Identify fall incidents in care, healthcare, and monitored environments for faster response.

How It Works

Vision-Based Fall Identification

The model analyzes human posture and movement patterns from live camera feeds to detect fall events in real time — enabling immediate notification to caregivers and responders.

Why It Matters

Every Second Matters After a Fall

Falls are a leading cause of injury in healthcare and elderly care settings. AI-powered detection ensures no fall goes unnoticed — even in unattended areas.

Best Environments

Where It Works Best

Healthcare

Monitor patient rooms, corridors, and common areas for fall incidents.

Elderly Care

Provide round-the-clock fall monitoring in assisted living facilities.

Offices

Detect falls in stairwells, lobbies, and workplace environments.

Industrial Sites

Monitor workers in high-risk areas for fall safety compliance.

Deployment

Deploy on Any IndoAI Product

Edge AI Camera

Run fall detection directly on IndoAI cameras.

Edge Box

Add fall monitoring to existing CCTV systems.

AI Box

Process multiple camera feeds centrally.

Alert Output

Instant Alerts With Visual Evidence

Every detected fall generates a real-time alert with snapshot, timestamp, camera ID, and confidence score — delivered to caregivers, dashboards, or emergency response systems.

Fall snapshot

Timestamp & location

Confidence score

Push notification

Emergency alert

FAQ

Common Questions

Can it distinguish falls from sitting or bending?

Yes. The model is trained to differentiate between falls and normal activities like sitting, bending, or lying down intentionally.

Yes. The model works with IR-enabled cameras for reliable detection in low-light environments.

No. Detection is fully vision-based — no wearables or sensors need to be worn by the individual.

Yes. Fall detection can run concurrently with other IndoAI models on supported hardware.

Add Fall Detection to Your Setup

See how AI-powered fall detection can protect people and improve response times in your facilities.