The C1001 60GHz mmWave Indoor Fall Detection Sensor is a next-generation radar sensor designed for human detection, fall monitoring, and sleep analysis. Unlike traditional 24GHz or PIR sensors that rely only on motion, the C1001 uses advanced point cloud imaging algorithms to detect posture, presence, and even life signs such as breathing and heart rate. It can monitor static and moving individuals with high accuracy, making it ideal for elderly care, safety monitoring, and health tracking.
Mounted on a ceiling at 2.7 meters, the C1001 covers up to 11 meters with a 100° field of view, enabling reliable fall detection and inactivity alerts. In sleep monitoring mode, it measures respiration (10–25 bpm) and heart rate (60–100 bpm) from up to 1.5 meters, delivering valuable insights into sleep quality. The module is fully Arduino IDE compatible and comes with detailed tutorials, wiring guides, and sample code for easy integration into projects. Featured By RoboticsBD.
Product Images are shown for illustrative purposes only and may differ from the actual product.
The C1001 sensor features a point cloud imaging algorithm that accurately recognizes human postures, including detecting when a person is lying down. It effectively reports fall incidents, the duration of immobility, and periods of physical inactivity. With the ability to detect motion over a wide area (up to 11 meters) when mounted on the ceiling at a height of 2.7 meters, the C1001 ensures precise fall detection. This capability enhances safety monitoring, particularly in elderly care, by providing timely alerts for fall incidents. Unlike other sensors that fail to detect static bodies, the C1001 excels in recognizing both motion and stillness, making it highly reliable.
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, offering valuable insights into sleep quality and overall health. By integrating these parameters, the sensor delivers a detailed sleep score, aiding in a better understanding of sleep patterns and health.
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.
Practical Demonstration Steps: 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.
Introduction: In this video, we will learn how the C1001 mmWave Human Detection Sensor performs under various conditions, including its ability to detect human presence through walls and different materials.
Introduction: This video demonstrates how the sensor surpasses traditional PIR sensors, making it perfect for applications in bathrooms, living rooms, and more. Discover how it accurately tracks human presence even without movement, ensuring seamless automation and safety in various environments.
Introduction: In this project, we’ll create a real-time heartbeat monitoring system using the DFRobot mmWave Sensor and Beetle ESP32 C6. The system will send alerts via Telegram, making it ideal for presence monitoring. This project is instrumental in continuous monitoring in the security field.
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C1001 60GHz mmWave radar sensor with advanced human detection features
Supports fall detection using point cloud imaging algorithms
Provides sleep monitoring with breath and heart rate measurement
Detects both motion and static presence, unlike PIR sensors
Works with Arduino, ESP32, and micro:bit via Arduino IDE support
Wide detection range of up to 11 meters with 100° coverage
Note: This is not a certified medical device and should only be used for prototyping, research, or personal projects—not for medical diagnosis.
