Millimeter-Wave Radar vs. Cameras vs. Wearables: How to Choose a Fall-Monitoring Approach for Elderly Care

1. Three Fall-Monitoring Technologies Compared

Elderly-care fall monitoring follows three main technology paths: camera vision, wearables, and mmWave radar. They differ in principle and in where each fits. The table below compares them across six dimensions to support selection by project condition.

Cameras suit public-area evidence but not bedrooms and bathrooms; wearables depend on the elder's cooperation, with gaps during bathing and sleep; mmWave radar is irreplaceable in "contactless + privacy-friendly" scenarios and is the technical basis this solution chose. The three paths are not mutually exclusive — real projects often combine them to fill coverage gaps.

2. Applicability: Is This Solution Right for Your Project?

Use the table below to locate your project. If most rows match, the solution can move straight to configuration; if marked "evaluate", discuss deployment boundaries with us first.

3. Core Problems Addressed

1. Falls at night and in bathrooms are uncovered. Most elderly falls happen at night or on the way to the bathroom, with no one present; how fast help arrives decides the outcome. Wall- or corner-mounted fall radar covers these blind spots and alarms the moment a fall occurs.

2. Wearable compliance collapses quickly. ECG electrodes, wristbands and finger clips all depend on the elder remembering to wear them, and adherence often fails within days for the very old and cognitively declining. This solution is fully contactless — no active cooperation required.

3. Cameras are refused on privacy grounds. Video solves coverage but is routinely rejected in bedrooms and bathrooms. This solution uses radar and sensor pads with zero image data, legally installable in the most private areas.

4. Bedwetting / incontinence is detected far too late. Without an alarm, wetness is often found only at the next round of checks, causing skin maceration, chills and broken sleep. This solution detects wetting the instant it happens and notifies immediately.

5. Vital-sign trends are missed and rounds waste labor. One or two spot checks a day cannot catch the drift of heart rate, respiration, SpO₂ and temperature during sleep; manual rounds cannot cover every bed at once and leave only hard-to-trace paper records. This solution samples 7×24 automatically, reports automatically and archives automatically.

4. What Makes This Solution Distinctive

4.1 Contactless mmWave radar: no camera, nothing to wear. Vitals and fall sensing are done entirely through 24GHz / 60GHz radar through the air — installable in bedrooms and bathrooms, privacy-safe, with compliance no longer a variable. This is the foundation that makes the solution deployable at all.

4.2 Unified multi-modal platform: vitals, wetting and falls in one. All three data streams report into the same console and App, giving caregivers one complete picture instead of three disconnected systems — avoiding the integration boundaries and accountability gaps of multi-vendor stitching.

4.3 TASA-2B: a behavior-aware fall radar, not just a fall detector. Beyond falls, it recognizes being unable to get up, leaving without returning, abnormal night activity, declining mobility and prolonged sitting — so it can surface risk trends before an incident, not only after.

4.4 End-to-end integrated delivery: hardware, connectivity and platform from one source. From chip module to cloud, Alinket provides a full-stack connectivity portfolio — BLE, Wi-Fi, Combo modules, IoT controllers, data gateways, network bridges, middleware and cloud-access technology — and this eldercare solution is built on that proven, at-scale stack; Wi-Fi / Bluetooth / combo modules also let third-party eldercare products join the same network and cloud. The buyer gets a single accountable party with validated delivery capability, not a patched supply chain.

4.5 Multi-tier escalation: no missed or unacknowledged alerts. From sense, detect, notify, reach, on-site response to automatically calling the next contact in the care chain when no one acknowledges — the response loop is engineered into the system rather than relying on someone remembering to follow up.

5. System Architecture & Tech Stack

A four-layer architecture built on Alinket's IoT modules and gateways: sense → connect → monitor → respond.

Sensing includes the ASK824-S radar vitals monitor, the urine-wetting pad (bedwetting detection), the TASA-2B fall radar, and an optional SpO₂ accessory. Connectivity includes dual-band 2.4G / 5G Wi-Fi, MQTT to cloud, BLE modules and BLE-to-4G gateways, BLE-to-Wi-Fi gateways, Ethernet-to-Wi-Fi bridges, and medical-grade routers. The platform covers the central monitoring console, resident & bed management, device management, health-reporting, the alert & escalation engine, and open API / EHR-HIS integration. Response spans mobile-app push, WeChat notifications, SMS, caregiver watches, the nurse-station host and bedside alarms.

6. Hardware Specifications

7. System Integration & Deployment

The platform exposes an open API and supports integration with an institution's existing EHR / HIS systems; the professional edition opens AiCloud onboarding and the AiDK / AiSDK / AiDMS development platforms for device-to-cloud integration. On-site deployment runs primarily on Wi-Fi / BLE; blind spots or weak-network areas are covered by BLE-to-4G and BLE-to-Wi-Fi gateways and Ethernet-to-Wi-Fi bridges, with medical-grade routers carrying ward-level coverage. TASA-2B supports BLE provisioning and SDK integration, easing inclusion into existing management platforms.

8. Requirement-to-Capability Selection Matrix

9.Why Alinket

Alinket Technology (Shanghai) Co., Ltd. was founded in 2013 and has spent 13 years in IoT, offering a full-stack connectivity portfolio from chip module to cloud — BLE, Wi-Fi, Combo modules, IoT controllers, data gateways, network bridges, middleware and cloud-access technology. Its business spans medical devices, industrial manufacturing, precision instrumentation, warehousing & logistics and intelligent vision, serving more than 300 enterprise customers, with long-term partners including Nihon Kohden, Mindray, GE, Medtronic, Smiths Medical and Edan — leaders across the medical-device industry. The company is a National High-Tech Enterprise, holds SRDI ("Specialized, Refined, Distinctive and Innovative") recognition, and is certified to ISO 9001:2015; its three development platforms, AiDK, AiSDK and AiDMS, have helped many partners bring intelligent products to market faster. This eldercare solution is built on that real-project-proven stack, and radar, connectivity and platform from one partner means fewer integration boundaries and a single point of accountability.