The C1001 mmWave Human Detection Sensor is a high precision 60GHz millimeter-wave radar sensor designed for precise human detection functions. Unlike 24GHz millimeter-wave sensors, the C1001 offers enhanced detection capabilities, including fall detection and sleep monitoring, providing accurate and detailed insights into human presence and activity. Its comprehensive monitoring capabilities improve safety, health monitoring, and overall user experience. Compatible with both ESP32, micro:bit, and Arduino UNO development boards, users can easily configure and use the sensor with the Arduino IDE.
The function of C1001 mmWave Human Detection Sensor
Integrated Fall Detection Function
The C1001 features a point cloud imaging algorithm that accurately recognizes human postures, including detecting when a person is lying down. This allows the sensor to effectively report fall incidents, including the duration of immobility and periods of physical inactivity. The sensor's advanced body movement parameter detection, combined with its ability to detect motion over a wide area (up to 11 meters) when mounted on the ceiling at a height of 2.7 meters, ensures precise fall detection. This capability enhances safety monitoring for elderly care and provides timely alerts for fall incidents.
Detection Range of C1001 mmWave Human Detection Sensor
Comprehensive Sleep Monitoring

In sleep monitoring mode, the C1001 tracks human presence and movement, analyzing variations in body movements and respiratory rates throughout the night. It accurately measures breath frequency and heart rate from a distance of 1.5 meters, providing valuable insights into sleep quality and overall health. The sensor delivers a detailed sleep score by integrating these parameters, helping users understand their sleep patterns and health more effectively.

Comprehensive Setup and Configuration Support

The C1001 mmWave Human Detection Sensor comes with extensive and detailed usage and configuration tutorials. These guides cover everything from hardware setup to software integration, ensuring smooth implementation and optimal performance. The tutorials include:

Interface Definitions: Clear explanations of sensor pins and their functions for straightforward wiring and connection.
Installation Methods: Step-by-step instructions for top and side installations, with diagrams to ensure correct placement for both fall detection and sleep monitoring modes.
Sample Code: Ready-to-use code snippets for Arduino IDE, complete with examples for fall detection and sleep monitoring to facilitate quick setup and testing.
Demonstration Routines: Detailed routines to help users access and interpret data for human presence, respiration rate, heart rate, and more.
Important Disclaimer: This product is not a certified medical device and is not intended to be used as a diagnostic or therapeutic aid. The manufacturer assumes no responsibility for any medical or health-related claims arising from the use of this product. Any reliance on the product for medical purposes is at the user's sole risk and discretion.
Applications:
  • Indoor Fall Detection System
  • Sleep Tracker
Specification:
  • Operating Voltage: 5V
  • Operating Current: ≤100mA
  • Operating Frequency: 61~61.5GHz
  • Transmission Power: 6dBm
  • Maximum Detection Distance: 11m
  • Radar Detection Angle: 100×100 degrees
  • Sleep Detection Distance (Chest): 0.4-2.5m
  • Breath and Heart Rate Detection Distance (Chest): 0.4-1.5m
  • Breath Measurement Range: 10-25 breaths per minute
  • Heart Rate Measurement Range: 60-100 beats per minute
  • Operating Temperature: -20~60°C

Documents:

Package Includes:

  • 1 x C1001 mmWave Human Detection Sensor

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C1001 60GHz mmWave Indoor Fall Detection Sensor for Arduino / ESP32 / micro:bit (11 Meters)

  • Brand: DFRobot
  • Product Code:DFR-C1001-60GHz-mmWave
  • Reward Points:37
  • Availability:In Stock
  • रo 3,568.00
  • रo 3,096.00

  • Price in reward points:3686

  • 4 or more रo 3,553.00
  • 8 or more रo 3,538.00
  • 20 or more रo 3,445.00
  • 40 or more रo 3,329.00

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Tags: 60GHz, mmWave, Indoor, Fall, Detection Sensor, Arduino, ESP32, micro:bit

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