AI-Powered Fall Detection Device for Elderly Care

Edge AI for Elderly Care — Smart. Simple. Private.

AI That Watches, Analyzes, and Protects — All On-Device, No Internet Needed.

LonRock Circuit Board

Powerful On-Board AI Processing

Our custom-designed hardware features a high-performance processor capable of analyzing real-time video streams to detect elderly falls and extended inactivity in wheelchairs — all without relying on cloud services. This ensures instant alarms, fast response, and complete privacy.

Hardware Interface Overview

Device Interface Ports
Device Signal Indicators

All major ports and indicators are labeled for easy plug-and-play setup, including network input, TF card storage, USB backup, audio alarm output, and status LEDs.

Technical Specifications

ModelLRK-Carehome66A-Z
Camera InputONVIF Protocol via Ethernet (ETH0)
Video CodecH.264 / H.265
Supported Resolutions720P ~ 5MP
Input MethodLAN Port ETH0
StorageTF Card (Primary), USB Backup
Alarm Output Visual signal (LED)
Audio alarm (buzzer)
Push notifications with snapshots to alarm platform
Device DiscoveryWindows Detection Utility
ConfigurationWeb Browser Interface
Network Port1x Ethernet (ETH0)
Power Supply5V/3A, Max Power 11W
Dimensions90 x 60 x 30 mm
Weight200g
Operating Temp.0°C ~ 65°C
Humidity10% – 90% RH

Alarm Protocol Information

To connect ElderWatching alarm notifications with your own monitoring or alarm system, please refer to the protocol document below.

View Alarm Protocol »

Real-World Demonstration

Ready to improve elderly care with AI?

Get in touch with us and discover how we can help.

Contact Us
Messenger Telegram Email