RGBD Camera

TOF-Based Fall Detection System Solution

Product Positioning

This solution is a system-level fall detection platform based on TOF (Time-of-Flight) 3D sensing technology. It is designed for elderly care, assisted healthcare, and smart space applications, providing reliable, long-term human behavior perception and fall detection capabilities.

System Overview

The entire software stack runs on an embedded platform and is implemented in C++. By leveraging depth data combined with a hybrid approach of machine learning and deep learning, the system achieves high-accuracy recognition of human posture, activity states, and fall events. Multiple detection modes—including fall, prolonged sitting, and prolonged lying—are supported, with strong anti-interference performance for continuous 24/7 operation.

Core Capabilities

• Multi-directional and multi-posture fall detection for complex behavior scenarios
• Advanced interference suppression to filter out daily activities
• Operates reliably in complete darkness without visible light dependency
• Fully offline embedded deployment to ensure data privacy and system stability
• Supports wired, Wi-Fi, and optional 4G communication options

Typical Deployment Scenarios

• Elderly care facilities and community care centers
• Hospital wards and rehabilitation centers
• In-home safety monitoring for seniors
• Personnel safety management in public spaces

System Specifications (Engineering Reference)

• Depth Resolution: 640 × 480 / 320 × 240
• Field of View: H100° × V75° (±5%)
• Data Connectivity: Wired / Wi-Fi / Optional 4G
• Power Consumption: ≤ 3 W
• Operating Temperature: -10°C to 55°C
• Low-Light Capability: Full operation in complete darkness
• Algorithm Deployment: Embedded platform, fully offline
• Detection Accuracy: Missed detection ≤ 2%, false detection ≤ 2%