AI Fall Detection
Automatic fall detection for healthcare, senior living, and workplaces, the moment a person goes down.
IntelliSee turns existing cameras into proactive fall detection sensors, identifying person-down events in real time without wearables, facial recognition, or video storage.
The Operating Gap
The danger of a fall grows with every minute on the ground. Traditional cameras are built to review it later.
The interval between a fall and the first response is when harm compounds. Recorded video documents that interval. It does not shorten it.
Closing the gap requires a system that recognizes a person-down event the moment it happens — not a staff member who reaches the room on the next round.
Long-lie risk
Unobserved falls become more dangerous the longer a person stays on the ground. Recorded footage does nothing to shorten that interval.
Blind spots between rounds
Staff rounds cannot cover every hallway, common area, entrance, and exterior path continuously.
Recorded, not resolved
Reactive camera systems capture the fall for later review. That supports the incident report; it does not speed the response.
The Technology
Existing cameras become an active fall-detection layer.
AI fall detection uses computer vision to identify posture, body position, duration on the ground, and movement patterns that indicate a person-down event.
Traditional surveillance cameras record everything and understand nothing. IntelliSee converts existing camera coverage into an active fall-detection layer that recognizes the event while a response can still reduce harm, liability, and long-lie time.
The platform processes video locally on an on-premises appliance connected to existing ONVIF and RTSP cameras. No wearables are required, no facial recognition is used, and no PHI is collected.
No wearable to forget
Pendants and watches only help when they are worn and charged. Camera-based detection does not depend on user compliance.
Attention that does not fatigue
Human rounds and monitor-watching degrade over a long shift. Autonomous analysis applies the same standard around the clock.
One platform, many detections
Fall-only hardware solves a single scenario. IntelliSee detects falls alongside weapons, unauthorized access, loitering, and slip-and-spill risk on one platform.
Documentation that reveals patterns
Verified alerts show teams when and where falls occur, so safety leaders can address the zones that produce recurring risk.
Reactive vs. Proactive
The difference is not resolution. It is when the system acts.
Records the fall
- Footage is reviewed after a fall is reported
- Depends on staff reaching the person on rounds
- Wearables only help when worn and activated
- Evidence for the incident report, not the response
Shortens the long-lie
- Person-down posture identified the moment it appears
- Every configured camera analyzed at once, continuously
- No wearable, button, or user action required
- Verified alert routed to staff within seconds
Where Fall Detection Applies
Map fall risk to the right environment.
Fall detection becomes operational when it is linked to the industries where long-lie risk, liability exposure, and staff response gaps matter most.
Healthcare
Detect falls in hallways, waiting areas, emergency departments, and other high-traffic clinical environments.
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Senior Living
Support resident safety in corridors, common areas, entrances, and assisted living environments without wearables.
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Manufacturing
Identify person-down events in production areas, warehouses, loading areas, and low-traffic operational zones.
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Airports & Transportation
Detect falls in terminals, concourses, parking structures, and other public mobility environments.
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Municipal Spaces
Support public-area safety monitoring without facial recognition or identity tracking.
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Slip-Risk Detection
Pair fall detection with proactive spill and floor-hazard detection to address both response and prevention.
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Privacy by design: detect the fall, not the identity.
IntelliSee detects person-down events and posture patterns, not individual identities. The platform does not use facial recognition, does not collect PHI, and does not store video. It answers a narrow question — has someone fallen — without building a database of people.
For standards-based planning, review CDC fall-prevention resources, OSHA slips, trips, and falls guidance, and CMS quality resources. IntelliSee holds a DHS SAFETY Act QATT (Qualified Anti-Terrorism Technology) Designation.
Common Questions
What safety leaders ask about AI fall detection.
How fast does AI fall detection identify a person-down event?
IntelliSee identifies falls within seconds of a person-down posture becoming visible to a connected camera. The alert includes the camera location and detection context so staff can respond quickly.
Does fall detection require wearables or panic buttons?
No. IntelliSee uses existing cameras to detect fall events visually, so residents, patients, visitors, and employees do not need to wear a device or press a button.
Does this use facial recognition or collect PHI?
No. IntelliSee detects fall events and posture patterns, not individual identities. The platform does not use facial recognition, biometric capture, or PHI collection.
Close the Response Gap
Turn existing cameras into fall-detection sensors.
Request a risk assessment to identify fall-risk zones across your healthcare, senior living, or workplace environment.