
What is AI-PAM?
AI-PAM is a non-invasive, AI-powered fall detection and monitoring system designed for use in hospitals, nursing homes, and care facilities. It uses sensor-based technology—not cameras—to monitor movement patterns and detect falls in real time, reducing risk while preserving privacy and dignity.
Key Features
1
AI Sensing
Advanced AI algorithms enable fast, multi-variable recognition of dangerous events with high-speed deep learning.
2
Precision Imaging
Equipped with infrared imaging and color enhancement technology for accurate patient detection, even in dark or low-visibility environments.
3
High-Risk
Factor Classification
Automatically identifies and separates risk-related objects or movements — such as patients, beds, curtains, and medical staff, using life-log analysis.
4
Privacy
Protection System
Applies masking and anonymization for both patients and medical staff, ensuring compliance with privacy regulations.
5
Data-Driven Reporting
Offers a detailed safety reporting system that helps monitor patient events and prevent future incidents.
6
Alert System
Delivers real-time alerts for events like falls, patient distress, or sudden inactivity — helping caregivers respond quickly and effectively.
How it Works
1. Install Smart Sensors
AI-PAM sensors are discreetly installed in patient rooms or common areas. No cameras, no invasive setup—just plug in, connect, and go.
2. Continuous Monitoring
The system continuously tracks movement and behavior patterns. When fall-like or abnormal motion is detected, AI-PAM quickly identifies the risk.
3. Instant Alerts & Logging
If a fall is suspected, an alert is instantly sent to care staff via dashboard, app, or SMS. All activity is logged automatically for compliance, reporting, and future analysis.
Key Advantages of AI-PAM
Specialized AI
for Hospital Safety
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Utilizes advanced, high-speed decision-making AI tailored for hospital environments
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Detects patient location with high accuracy using depth-based distance estimation
Report System
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Provides alerts for falls, bathroom emergencies, and patient injuries
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Offers data-driven reports to support hospital-wide risk management
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Helps monitor safety status and prevent future incidents
Mobile Alert System
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Real-time mobile alerts that work even during active caregiving
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Supports wireless operation on mobile tablets with in-room Wi-Fi
Risk Factor Identification
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Distinguishes patients, staff, beds, curtains, and medical devices using recognition algorithm
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Detects activity in visually blocked areas (e.g., behind curtains)
Integrated Detection System
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Infrared support enables full detection in dark conditions
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Seamlessly tracks patient activity day and night
Intuitive Interface for Care Teams
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Designed for smooth coordination between nurses and medical staff
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Offers a streamlined interface to support efficient caregiving and monitoring
Ideal Use Cases
AI-PAM supports care teams in:​
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ICUs (for sedated or intubated patients)
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Surgical Recovery Rooms
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Pediatric Clinics (non-verbal children)
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Emergency Rooms
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Dementia and Alzheimer’s Care Facilities
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Palliative and Hospice Care
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Rehabilitation Centers
Case Studies​
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Location: Seoul, South Korea
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Units Installed: 60 AI-PAM sensors
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Results: 42% decrease in unattended fall incidents in 3 months