Seeed Studio MR60BHA2 and MR60FDA2 60GHz mmWave Sensor Kits with XIAO ESP32C6 for Fall, Breathing, and Heartbeat Detection

Seeed Studio MR60BHA2 and MR60FDA2 60GHz mmWave Sensor Kits with XIAO ESP32C6 for Fall, Breathing, and Heartbeat Detection

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Seeed Studio’s MR60BHA2 and MR60FDA2 sensor kits leverage 60GHz mmWave technology and are powered by the XIAO ESP32C6 microcontroller. These kits are pre-flashed with ESPHome firmware, enabling easy, no-code integration with Home Assistant for customizable automation. They support wireless communication through Wi-Fi, BLE, Zigbee, and Thread, ensuring seamless connectivity for smart home and monitoring systems.

The MR60BHA2 kit is designed to detect breathing, heartbeat, and human presence. It includes a built-in light sensor and an RGB LED for interactive feedback, and it supports external sensors and actuators for enhanced functionality. This makes it ideal for applications such as healthcare monitoring, safety systems, elderly care, and home automation.

The MR60FDA2 kit focuses on fall detection and human presence detection while offering similar features, including light sensing and an RGB LED. It is optimized for safety monitoring and elderly care, providing responsive and reliable automation capabilities. Both kits deliver advanced sensing solutions for diverse use cases, offering flexibility and ease of integration.

Seeed Studio 60GHz mmWave

The 60GHz mmWave MR60BHA2 and MR60FDA2 specifications:

  • Microcontroller: Seeed Studio XIAO ESP32C6 module
    • SoC: ESP32-C6 with a single-core 32-bit RISC-V CPU up to 160 MHz and a low-power core up to 20 MHz.
    • Memory: 512KB SRAM, 16KB low-power SRAM.
    • Storage: 320KB ROM, 4MB flash.
    • Wireless: 2.4 GHz Wi-Fi 6 and Bluetooth 5.0 LE.
    • Antenna: Supports external u.FL antenna or ceramic antenna.
  • Sensors:
    • MR60FDA2 Sensor (Fall Detection):
      • 60GHz mmWave fall detection sensor.
      • Covers a 3x3x3 meter volume with a horizontal FoV of 120° and vertical FoV of 100°.
      • Detects static human presence up to 6 meters.
    • MR60BHA2 Sensor (Heartbeat and Breathing Detection):
      • 60GHz mmWave heartbeat and breathing detection.
      • Detects heartbeats within 1.5 meters and static presence up to 6 meters.
    • Light Sensor: BH1750 measures ambient light from 1 to 65,535 lux, adjustable up to 100,000 lux.
  • GPIO and Interface:
    • 2x 7-pin 2.54mm female headers provide 1x UART, 1x I2C, 1x SPI, 11x GPIO (PWM), 3x ADC, SDIO, 5V, 3.3V, and GND.
    • 16 SMD pads for GPIO, SPI, BOOT, 3.3V, and GND.
    • Grove GPIO ports (D0, D10) for adding additional sensors and actuators.
  • USB Ports: 2x USB Type-C ports: one on the XIAO module and another on the main board.
  • Misc:
    • Visual Feedback: WS2812 RGB LED for customizable indications.
    • Reset Button: For module initialization.
    • Pre-Flashed Firmware: ESPHome firmware pre-installed for seamless integration with Home Assistant.
  • Power Supply: 5V/1A DC input via USB Type-C.
  • Power Consumption:
    • 0.5W in standby mode.
    • 0.8W in active mode.
    • 1.4W when operating with Grove Relay.
  • Dimensions: 3mm x 5mm.

The MR60FDA2 is a 60GHz mmWave radar sensor for fall detection and human presence monitoring, with a sensing radius of 2 meters when mounted at 2.2–3.0 meters height. It operates best in open spaces and must avoid interference from nearby radars, moving objects, water flow, reflective surfaces, and vibrations. The sensor cannot detect through glass or thin wooden materials and requires a high-quality power source for stable performance.

The MR60BHA2 is a 60GHz mmWave radar sensor for breathing and heartbeat monitoring, offering two installation methods. For general detection, it is side-mounted at chest height, within 1.5 meters of the subject. For sleep monitoring, it is mounted 1 meter above the bed, tilted 45° downward, and aligned with the chest cavity at a maximum distance of 1.5 meters. Proper alignment ensures accurate detection of respiratory and heartbeat data.

The XIAO ESP32C6 powers both modules, pre-flashed with ESPHome firmware to integrate easily with Home Assistant. Seeed Studio offers the flexibility to program the board using the ESP-IDF framework or Arduino IDE. Detailed setup guides and sample code for Fall Detection and Breathing and Heartbeat Detection are available on the wiki pages. For further support, Seeed provides an example code for the Arduino mmWave Library for XIAO, including loading instructions on GitHub.

The Seeed Studio 60GHz mmWave human fall detection, breathing, and heartbeat detection sensor kits are now available in the official store for $22.90.

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About Sayantan Nandy

Sayantan Nandy, an electronics engineer with over four years of hands-on experience in PCB design, circuit development and power electronics, is proficient in EAGLE CAD, Ki-Cad, and Altium. He has a proven track record of delivering efficient and effective systems. His expertise extends from R&D, and prototyping to production support, making him a valuable asset to any engineering team.

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