mmWave Radar AIoT Fall Detection

Our world-leading millimeter wave fall detection sensor to revolutionize your care solutions.

AIoT Fall Detection as A changer of game rules for fall detection

1. Fall monitoring.

2. Resident monitoring (no movement and residence).

2. No one, someone, still, moving.

3. Movement status.

4. Movement trajectory coordinates (X, Y axis position).

5. Movement speed.

6. Height monitoring of human monitoring targets

7. Multi-person target tracking.

8. 11 sets of accurate data per 200 seconds

9. Others.

Millimeter-wave radar fall monitoring

Global innovator in the field of falls – low-cost, easy-to-deploy life-saving solutions

Game changer for fall monitoring

a. Global pain points and technical bottlenecks of fall monitoring

• Shocking data: According to WHO statistics, more than 370,000 people aged 65 and over die from falls each year worldwide, and it takes an average of 1 hour and 40 minutes for elderly people living alone to be discovered after a fall.
• Limitations of traditional technology:

◦ Camera: Invades privacy, and the accuracy rate in dark environments decreases (<75%).

◦ Wearable devices: The elderly are less willing to wear them (a Japanese survey shows that only 43% are willing to use them for a long time), and the false alarm rate is high (up to 25%).

◦ Pressure sensor: Furniture needs to be modified, and the installation cost exceeds $500/set.

b. Technological breakthroughs of millimeter-wave radar-AIoT Fall Detection

1. The revolutionary nature of non-contact monitoring

• Principle advantages:

◦ Detect human movement through clothing without the need for cameras or wearable devices.

◦ Recognize human posture (such as standing/sitting/falling) with millimeter-level accuracy, with an accuracy rate of 98.7% (IEEE 2025 standard).

• Privacy protection: Only abstract motion data is transmitted, and EU GDPR certification has been passed.

1. All-weather adaptability

• Anti-interference ability: Penetrate curtains and thin walls, and is not affected by light and temperature.
• Complex scene application: Millimeter-wave radar still maintains 95% accuracy in the steam environment of the bathroom.

1. Low-cost deployment

• Hardware cost: The price of a single device is $150-$300, which is only 1/3 of the traditional solution.
• Easy installation: Wall-mounted design, deployment is completed in 15 minutes, and there is no need to modify the house structure.

c. Global large-scale application cases-AIoT fall Detection

1. Intelligent upgrade of community elderly care

• Project: “Millimeter Wave Radar Plan”
• Results:

◦ Covering 2,000 households of elderly people living alone, and the response time for falls has been shortened from 45 minutes to 7 minutes.

◦ Nursing insurance expenditures decreased by 23%, saving money for early intervention of dementia.

2. Germany: Standardized configuration of home care

• Policy: The Long-term Care Insurance Act requires low-income families to install millimeter-wave radars free of charge.
• Data: In the Berlin pilot, the number of emergency visits related to falls decreased by 41%, and the efficiency of remote care for children increased by 60%.

2. Low-cost solution implementation

• Innovation: The millimeter-wave radar we developed cooperates with local telecommunications companies.
• Model: Real-time push alerts through mobile phone APP, low monthly service fees, covering the elderly in rural areas.
• Deployment: The case installed millimeter-wave radars in 3,000 elderly single-person households and linked community service centers.
• Results: The accident rate decreased by 58%, and the number of consultations on the government service hotline decreased by 32%.

d. Advantages of global deployment of millimeter-wave radars-AIoT fall Detection

Low installation cost.

Simple maintenance, no need to replace batteries or calibrate regularly, no consumables, and maintenance-free.

No violation of personal privacy.

No physical contact, global acceptance exceeds 92%

Only Wi-Fi is required for the network.

e. Technology iteration and future trends-AIoT fall Detection

1. Multimodal fusion:

Combined with AI algorithms, identify abnormal gait of Parkinson’s patients

2. Standardization process:

The International Electrotechnical Commission (IEC) is developing a global standard for millimeter-wave radar fall monitoring, which is expected to be released in 2026.

f. Challenges and solutions-AIoT fall Detection

• Regulatory differences:

Countermeasures: Establish a global technology alliance (such as the IEEE Aging Technology Committee) to promote cross-border certification and mutual recognition.

• False alarm control:

Innovation: Deep learning algorithms distinguish between falls and daily activities (such as yoga movements), and the false alarm rate has dropped from 15% to the current 3%.

• Cost pressure:

Model: “Leasing + data service” model, with a monthly fee of $20 including device use and health analysis.

When millimeter-wave radar captures the moment when the elderly stagger, it can achieve remote medical coverage. This technology is reshaping the global elderly safety net with subversive power.

It is not only the crystallization of engineers’ wisdom, but also a commitment of mankind to the dignity of life. Between low cost and high reliability, between technological innovation and humanistic care, millimeter-wave radar has built a bridge of protection across national borders.

 How Can We Work Together?

There Are Many Scenarios For Cooperation Between Us.

1. You have a mature IoT SaaS platform. With our simple technical support, you can make your AI healthcare solution at the forefront of technology and build SaaS integration of our products within a few hours, and you can visit Hiedesign to get much more about your customization idea from Highfive Electronics Group.

2. You have engineers who can or have just started to build and deploy IoT SaaS platforms. With our assistance, you can quickly integrate our products, expand more AI health care solution features, and attract global attention.

3. You still have not any IoT platform and have no plans to build and deploy IoT SaaS platforms yourself. We can help you build and deploy IoT SaaS platforms from PoC to MVP, large-scale commercial applications, please visit our website AIoTHealth.

4. Or you are still a preliminary understanding of the AI healthcare industry, and need to start a business in AI health care with the help of cutting-edge technology, or just have an entrepreneurial idea, and plan to find some of the best AI health technologies to gain the trust of investors. You can contact us and we will provide one-stop guidance throughout the process.

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