Smart Elderly Care Monitoring Solution

Updated: · 虹音科技 / Hongyin Tech ← Back to Applications

Care facilities and home care share one dilemma: detecting falls and emergencies promptly without making seniors feel watched or letting video leak out. Based on RK3576/RK3588 core boards, fall detection, bed-exit monitoring and activity anomaly analysis run entirely on the local NPU — raw video never leaves the device, only alert events are reported. The solution supports emergency call linkage and dual-channel alerts to family and facility staff. Free requirement review, with selection advice within 48 hours.

Smart Elderly Care Monitoring Solution solution architecture diagram

Pain Points

Recommended Hardware Configuration

SoC platformRK3576 (4×Cortex-A72 + 4×Cortex-A53) as the mainstay; RK3588 optional for facility-side nodes
AI computing power6TOPS NPU with fall detection and behavior analysis running fully on-device
Video inputMIPI CSI camera input for bedrooms, bathroom entrances, living rooms and other monitored spots
Emergency callGPIO/serial access for emergency call buttons, linked with the alert system
NetworkWi-Fi/Ethernet for facility or home networks, with optional 4G backup
Structure & thermalFanless silent design in a compact enclosure suitable for wall mounting in living spaces

Software Capabilities

Deliverables & Services

FAQ

Q:How does the solution protect privacy while still catching emergencies in time?

The key is on-device inference with event-only reporting: fall detection, bed-exit monitoring and other algorithms run entirely on the local NPU, raw video never leaves the device, and only structured alert events plus optional anonymized snapshots go to the cloud. Seniors are not continuously watched, yet facilities and families receive anomaly notifications immediately — balancing privacy with response speed.

Q:How is the false-alarm rate of fall detection controlled? What if a senior is falsely flagged?

False alarms mainly come from lighting changes, occlusion and similar postures. We tune algorithm parameters and camera angles through sample-room testing, and sensitivity can be configured per room. When an alert triggers, duty staff confirm it manually before escalation, so false alarms don't disturb families directly. We recommend piloting a few sample rooms and scaling up only after field results meet targets.

Q:Does the solution provide medical diagnosis capabilities?

No. This solution is a safety monitoring and daily-assistance tool that detects and alerts on events such as falls, bed exits and activity anomalies. It is not intended for diagnosing or treating any medical condition. Health assessments should be performed by professional medical institutions; the solution's event data can serve as reference information in care records.

Q:For multi-room deployment in a care facility, how are cost and management handled?

The facility side can deploy grouped multi-room access, with a unified duty console receiving alerts by priority to reduce manual screen-watching. Hardware is purchased and deployed in batches by room count, with low-volume orders supported for pilots. Configuration and budget can be planned per room count and monitoring points during the free requirement review — we reply with selection advice within 48 hours.

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