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Wall-Mounted Fall Alarm FDV6-W: A Caring Guard for the Safety of the Elderly

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Still worried about the elderly at home falling alone, and no one knows? Wall-mounted fall alarm FDV6-W, using technology to protect the safety of the elderly!

Accurate Monitoring and Timely Early Warning

Using advanced 60GHz millimeter-wave radar technology, the horizontal detection angle reaches 100°, capable of real-time dynamic detection of people within a radial range of 3m. Once an elderly person falls or faints at home and is unable to move for a long time, the device instantly sends an alarm to the mobile APP and simultaneously notifies emergency contacts, racing against time to ensure the safety of the elderly.

In addition, it can accurately identify keywords such as “come here” and “I fell”. When an elderly person has a sudden illness or falls and cannot get up, the voice help function will respond immediately and notify the guardian, so that you can go out at ease.

Rich features, Intimate Protection

Posture detection and entry and exit records: The posture of the elderly is monitored in real time, and the movement, stillness, and fall state of the elderly within the detection range are recorded at the same time. The dynamics of the elderly at home can be viewed with one click through the APP.

Privacy protection: no video picture, only through radar detection to perceive the dynamics, fully protects the privacy of the elderly. Flexible customization: supports the time slot, sensitivity slot, height,t, and other parameters to customize Settings, but also can customize alarm reminders to meet the needs of different home scenarios.

Help Center

Have a query? Please check this question and answers

Adopts 60GHz millimeter wave radar + AI algorithm dual verification mechanism:

  • When an abnormal posture is detected for the first time, the built-in speaker voice asks the user “Did you fall?”, and the APP alarm is triggered only after the user confirms “Yes”;
  • If the user does not respond or remains still for a long time (such as coma), the sensor will automatically push alarms to the family APP continuously and send text messages to emergency contacts simultaneously.

Based on the Doppler effect of 60GHz millimeter-wave radar, it detects human micro-movements (such as chest rise and fall during breathing, body movements caused by heartbeat) by transmitting and receiving radar waves.

There is no need to wear equipment or contact the skin. The monitoring distance can reach 2.5 meters (sleep state) and 1.5 meters (breathing/heartbeat accuracy monitoring).

Yes. Through dynamic/static presence detection algorithms, the difference between characteristic human movements (such as walking and waving) and pet activities can be accurately identified to avoid false alarms caused by pet activities.

The detection accuracy reaches the breathing level (it can sense human breathing in a static state).

By monitoring data such as the duration of falling asleep, total sleep time, number of times getting out of bed, breathing rate, heart rate variability (HRV), and combining it with AI algorithms to divide the stages of wakefulness, light sleep, and deep sleep, a sleep score report is generated to intuitively display key indicators such as the proportion of deep sleep and sleep efficiency.

No.

The transmission power of HOMERDA products is lower than the international safety standards (such as the FCC’s 60GHz radar maximum power density ≤1mW/cm²), and the radiation intensity is much lower than a mobile phone call.

It is non-ionizing radiation and is harmless to the human body if used for a long time.


Data is transmitted to the cloud via the AES-128 encryption protocol and stored on Amazon cloud servers/and other compliant servers;

All devices have no video cameras and only transmit abstract vital sign data (such as respiratory rate, fall alarms), without involving images or privacy images, eliminating the risk of leakage from the source.

Yes. Users can add multiple family members’ accounts through the APP and authorize remote viewing of real-time health data, sleep reports and alarm records, which is suitable for remote monitoring of children or multi-role collaboration in nursing homes.