SKU: SENS-2934
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DFRobot C1001 60 GHz mmWave Indoor Fall Detection Sensor for Arduino ESP32 micro:bit - 11m Range

₹3,516.00 (Inclusive of all taxes)
Out of Stock

The DFRobot C1001 is a high-precision 60 GHz mmWave radar sensor module designed for advanced human presence and posture detection. It provides fall detection, sleep monitoring, and vital sign measurement capabilities, interfacing via UART with popular development platforms like Arduino, ESP32, and micro:bit for health monitoring and smart space applications.

Features

  • 60 GHz mmWave radar technology for precise, privacy-safe human detection and posture recognition.
  • Advanced fall detection and immobility monitoring over a wide 11-meter range with a 100° field of view.
  • Non-contact vital sign monitoring, measuring breath frequency and heart rate from up to 1.5 meters.
  • UART serial interface for easy integration with Arduino, ESP32, micro:bit, and Raspberry Pi.
  • Robust operating range from -20°C to 60°C, suitable for various indoor environments.

Out of stock

Description

The DFRobot C1001 leverages 60 GHz millimeter-wave radar technology to generate point cloud imaging for sophisticated human activity analysis. Its advanced algorithms enable it to distinguish between normal movement, stationary presence, and critical events like falls, all while preserving privacy as it does not capture visual imagery. The sensor outputs processed data packets via UART, providing real-time information on presence, motion, posture, and vital signs.

Engineered for reliability in health monitoring and ambient assisted living systems, it operates from a 5V DC supply and consumes less than 100mA. Its compact form factor and wide operating temperature range make it suitable for integration into smart home hubs, elderly care monitoring systems, and occupancy-aware automation controllers.

Key Features

  • High-frequency 60-61.5 GHz mmWave radar provides superior resolution for micro-motion and posture detection compared to lower-frequency sensors.
  • Integrated fall detection algorithm triggers alerts for immobility or sudden posture changes, critical for safety applications.
  • Non-invasive sleep and wellness monitoring tracks breathing rate and heart rate variability without physical contact.
  • Wide 100° detection angle and 11-meter maximum range ensure comprehensive coverage for rooms and large spaces.
  • Simple UART (TTL) communication protocol allows for straightforward parsing and integration with most microcontrollers.
  • Durable construction with an operating temperature range of -20°C to 60°C for stable performance in varied indoor climates.
  • Privacy-centric sensing technology that detects presence and activity without cameras or recording identifiable features.

Applications

  • Elderly care and ambient assisted living systems for automatic fall detection and alert generation.
  • Smart sleep monitoring systems for non-contact tracking of sleep quality, breathing patterns, and heart rate.
  • Occupancy sensing and presence detection for smart home automation, lighting, and HVAC control.
  • Privacy-sensitive security systems in bathrooms, bedrooms, or healthcare facilities.
  • Wellness and telehealth monitoring devices for remote patient observation.

Technical Specifications

Manufacturer Part NumberC1001
Operating Voltage5V DC
Operating Current≤ 100 mA
Radar Frequency61 – 61.5 GHz
Maximum Detection Distance11 m
Detection Angle (Field of View)100°
Vital Sign Monitoring RangeUp to 1.5 m
Output InterfaceUART (TTL)
Compatible PlatformsArduino, ESP32, micro:bit, Raspberry Pi
Operating Temperature-20°C to 60°C
Dimensions (L x W x H)Approx. 9 x 8 x 2 cm

Frequently Asked Questions

What is the communication interface of the C1001 sensor, and how do I connect it to an Arduino?

The C1001 sensor communicates via a 3.3V TTL UART interface. Connect the sensor's TX pin to the RX pin on your Arduino (or other microcontroller) and the RX pin to the TX pin. Ensure a common ground and provide a stable 5V power supply to the sensor's VCC pin. You can then use serial communication libraries to read the pre-processed data packets containing detection status, posture, and vital signs.

Can this sensor detect multiple people in a room, and what is its field of view?

The C1001 is primarily designed for presence and posture detection of a single subject within its 100° field of view and up to 11-meter range. Its point cloud algorithm can distinguish human shapes from other objects. However, for precise tracking and separation of multiple individuals simultaneously, a multi-target tracking radar system would be required, which this module is not specifically designed for.

How accurate is the vital sign (breath/heart rate) monitoring, and what is the effective range?

The sensor can measure breath frequency and heart rate via micro-Doppler analysis of chest movement. This monitoring is effective for a stationary person within approximately 1.5 meters from the sensor. Accuracy is influenced by environmental factors, sensor placement, and the subject's relative stillness. It is suitable for trend monitoring in wellness applications but is not a medical-grade diagnostic device.

What is the power requirement, and can it be powered from a USB port or battery?

The sensor requires a 5V DC supply and draws a maximum of 100mA. It can be powered directly from a standard USB port (e.g., on an Arduino Uno or ESP32 Dev Board), a 5V regulated output from a power bank, or a stable DC power adapter. For battery-operated deployments, ensure the power source can provide a clean 5V output under the expected current load.

Package Includes

  • 1 x DFRobot C1001 60 GHz mmWave Indoor Fall Detection Sensor Module

Additional Information

Weight 0.005 kg
Dimensions 9 × 8 × 2 cm