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CAPTEUR DE DETECTION

SKU: CAP188
DFROBOT
DFROBOT
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1- GRAVITY : CAPTEUR DE DETECTION DE PRESENCE HUMAINE MMWAVE C4001 24 GHZ (12 METRES, I2C ET UART) SEN0610

Introduction

The Gravity: C4001 millimeter-wave presence sensor, operating at a wavelength signal of 24GHz, boasts a horizontal detection range of 100°, a presence detection range of 8 meters, and a motion detection and ranging range of 12 meters. It utilizes the Gravity interface (PH2.0) and supports I2C and UART communication methods, compatible with ArduinoRaspberry PiESP32 / ESP8266 development boards. Perfect for human presence detection, environmental monitoring, and real-time monitoring projects.

Human detection

Compared to other types of human presence sensors, such as infrared sensors, the C4001 (12m) millimeter wave presence sensor has the advantage of detecting both static and moving objects. It also has a relatively strong anti-interference ability, making it less susceptible to factors such as temperature changes, variations in ambient light, and environmental noise. Whether a person is sitting, sleeping, or moving, the sensor can quickly and sensitively detect their presence.

The differences between millimeter-wave presence sensor and infrared sensor

The differences between millimeter-wave presence sensor and infrared sensor

Distance and velocity detection

The C4001 (12m) millimeter wave presence sensor utilizes FMCW modulation for distance and speed measurement. It has a maximum detection range of 12 meters and a speed measurement range of 0.1 to 10 meters per second.

FMCW (Frequency Modulated Continuous Wave) is a type of radar system based on frequency modulation of continuous wave signals. Unlike traditional pulse radar, FMCW radar continuously emits a series of continuous wave signals with gradually changing frequencies while simultaneously receiving the reflected signals. By analyzing the received signals, measurements of parameters such as distance, speed, and angle can be achieved.

Compared to traditional pulse radar technology, FMCW radar can continuously measure the distance of an object. By utilizing the Doppler effect, it can also obtain information about the velocity of the target object. This makes FMCW radar suitable for applications that require tracking the movement of objects. Additionally, FMCW radar can achieve continuous frequency scanning, providing higher measurement resolution. Since it does not require waiting for the return of echo signals, FMCW radar is suitable for applications that require real-time monitoring and tracking of target objects.

Detection Range of millimeter-wave human body sensor

Detection Range of millimeter-wave human body sensor

What is a millimeter-wave radar sensor?

Millimeter-wave radar technology is a non-contact sensing technology used to detect objects and provide information about their distance, velocity, and angle (in the case of humans, for example). The signals emitted by millimeter-wave sensors fall within the high-frequency spectrum with wavelengths between 24GHz and 300GHz, also known as the millimeter (mm) range.

Installation Method

The millimeter-wave human body sensor is sensitive to the installation method, and improper installation can affect the performance and functionality of the sensor. The commonly used installation methods for this module include top installation, bottom installation, horizontal installation, and downward tilted installation.

Top Installation Diagram of millimeter-wave human body sensor

Top Installation Diagram of millimeter-wave human body sensor

 

Bottom Installation of millimeter-wave human body sensor

Bottom Installation of millimeter-wave human body sensor

 

Horizontal Installation of millimeter-wave human body sensor

Horizontal Installation of millimeter-wave human body sensor

 

Wiring diagram of millimeter-wave human body sensor and Arduino Uno

Wiring diagram of millimeter-wave human body sensor and Arduino Uno

Features

 

  • Communication Methods: It supports two communication methods, I2C and UART.
  • Interface: It uses the Gravity interface (PH2.0).
  • Human Detection: It can detect the presence of humans up to 8 meters and detect human motion up to 12 meters.
  • Distance Detection: It can measure distances from 1.2m to 12m.
  • Speed Detection: It can detect speeds from 0.1m/s to 10m/s.
  • Strong anti-interference capability: It is not affected by factors such as snow, haze, temperature, humidity, dust, light, and noise.
  • Compact size and easy integration.

Applications

  • Human Detection
  • Distance and Velocity Detection
  • Environmental Monitoring
  • Industrial Automation
  • Real-time Monitoring and Tracking

Specification

  • Operating Voltage: 3.3V/5V
  • Maximum Detection Range: 12m
  • Beam Angle: 100*80°
  • Modulation Mode: FMCW
  • Operating Frequency: 24GHz
  • Operating Temperature: -40~85℃
  • Baud Rate: 9600
  • I2C Address: 0x2A/0x2B
  • Size: 22*30mm

Shipping List

  • Gravity: mmWave 24GHz Human Presence Detection Sensor (12 Meters, I2C & UART) x1
  • Gravity-4P I2C/UART Sensor Connector x1

2-RADAR A ONDES MILLIMETRIQUES – CAPTEUR DE DETECTION DE PRESENCE HUMAINE 24 GHZ (9 METRES) SEN0395

Introduction

What is a mmWave radar sensor?

Millimeter-wave radar technology is a contactless sensing technology for detecting objects and providing the range, velocity and angle of those objects (in our case humans). mmWave sensors transmit signals with a wavelength in the high frequency spectrum between 24GHz and 300GHz, also called the millimeter (mm) range.

Accurate Stillness and Motion Detection

Compared to other human presence sensors like PIR sensors, infrared sensors, and ultrasonic sensors, mmWave sensors offer the ability to sensitively detect both activity and stillness. They also possess robust anti-interference capabilities, making them less susceptible to factors such as temperature changes, variations in ambient light, and environmental noise. The sensor can swiftly and sensitively detect the presence of a person, whether they are sitting, sleeping, or in motion.

For example, in the context of a public smart restroom project, mmWave human presence sensors prove invaluable due to the complex and noisy environment typically found in such facilities. Despite these challenges, mmWave sensors can accurately and instantly monitor the occupancy status of restroom stalls. This optimization of layout and resource allocation in public restrooms enhances efficiency and improves the user experience.

mmWave Radar - Human Presence Detection (9m)-Horizontal installation

Horizontal installation

mmWave Radar - Human Presence Detection (9m)-Top installation

Top installation

Exceptional Sensitivity

By utilizing millimeter-wave technology, these sensors employ high-frequency electromagnetic waves that propagate at speeds comparable to light in the air. As a result, they are widely regarded for their remarkable accuracy and sensitivity. The sensors are highly effective in various domains, such as smart homes and item tracking, enabling precise determination of an object’s position within the environment. They can also penetrate certain objects, such as bed boards and clothing, enabling the detection of human presence or objects beyond physical barriers.

Small Size and Easy Integration

With dimensions of 24*28mm, approximately the size of a 25-cent coin, mmWave human presence sensors boast a compact form factor that facilitates ease of use and seamless integration. Their small size, coupled with a square design, allows for effortless embedding into various devices and systems. This enables the sensors to be widely employed in applications with space constraints or a need for compact designs without compromising performance or functionality.

For instance, mmWave human presence sensors can be integrated into fitness trackers or smartwatches. By detecting the body’s movements and posture, the sensors can provide accurate fitness data such as step count, distance traveled, and calorie consumption. These insights assist users in gaining a deeper understanding of their physical activity, enabling them to set and track fitness goals effectively.

Human Presence Detection Sensor‘s small size

Extensive Application

Moreover, these sensors can be interconnected with other sensors, such as light sensors and temperature sensors, facilitating applications in smart home settings for lighting and air conditioning control. Their versatile integration capabilities are also conducive to a wide range of applications, including robotics projects and logistics tracking, among others.

smart home

Features

  • Human presence detection : Both Stillness and Motion Detection
  • Strong anti-interference ability, not to be affected by snow, haze, temperature, humidity, dust, light, noise, etc.
  • Small Size and Easy Integration
  • I/O port switch quantity input and output control
  • Serial port input and output control

Specification

  • Power Supply: 3.6~5V
  • Operating Current: 90mA
  • Detection Distance: 9m
  • Equivalent Transmit Power: 9-12dBM
  • Beam Angle: 100*40°
  • Modulation Mode: FMCW, CW
  • Operating Frequency: 24GHz
  • Operating Temperature Range: -40~85℃
  • Baud Rate: 115200
  • Dimension: 24*28mm/0.94*1.10″

Shipping List

  • mmWave – Human Presence Detection Sensor (9 Meters) ×1

3-CAPTEUR DE DETECTION DE CHUTE D’INTERIEUR C1001 60 GHZ MMWAVE POUR ARDUINO / ESP32 / MICRO:BIT (11 METRES) SEN0623

Introduction

 

The C1001 mmWave Human Detection Sensor is a high-precision 60GHz millimeter-wave radar sensor engineered for advanced human detection. Unlike standard 24GHz millimeter-wave sensors that are limited to detecting presence, speed, and distance, the C1001 sensor offers enhanced detection capabilities, including fall detection and sleep monitoring. Its ability to recognize human postures using a point cloud imaging algorithm allows for the detection of whether someone is lying down and for the precise monitoring of life signs. This sensor can detect motion or even when a person remains static, making it superior to traditional sensors like PIR, which require movement to detect presence.

The C1001 sensor’s comprehensive monitoring capabilities provide accurate and detailed insights into human activity, improving safety and health monitoring while enhancing the overall user experience. Compatible with ESP32micro:bit, and Arduino UNO development boards, this sensor can be easily configured and used with the Arduino IDE.The function of C1001 mmWave Human Detection Sensor

 

Integrated Fall Detection Function

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.

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, 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.

 

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

Projects

Testing: See Through with C1001 mmWave Human Detection sensor, mmWave Sensor with ESP32 IoT

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.

 

Review: C1001 mmWave Human detection Sensor with ESP32, Life Detection, Fall Detection, Sleep Detection

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.

 

Project: Real-Time Presence Monitoring with mmWave and Beetle C6

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.

Real-Time Presence Monitoring with mmWave and Beetle C6

Shipping List

  • C1001 mmWave Human Detection Sensor × 1

Resource

UGS : CAP188 Catégorie :
Style

CAP188-1, CAP188-2, CAP188-3

Marque

DFROBOT

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