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How to Use DFROBOT Microwave Sensor: Examples, Pinouts, and Specs

Image of DFROBOT Microwave Sensor
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Introduction

The DFROBOT Microwave Sensor is an advanced motion detection module that utilizes microwave technology to detect movement within its vicinity. By emitting microwave signals and analyzing the reflections, this sensor can accurately sense motion, making it ideal for a variety of applications such as automatic lighting, security systems, and industrial automation.

Explore Projects Built with DFROBOT Microwave Sensor

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Arduino UNO-Based Battery-Powered Robotic System with Ultrasonic Sensors and Magnetometer
Image of Autonomous Mobile robot v1: A project utilizing DFROBOT Microwave Sensor in a practical application
This circuit is a sensor-based robotic system controlled by an Arduino UNO. It includes three HC-SR04 ultrasonic sensors for distance measurement, a QMC5883L magnetometer for orientation detection, and an L298N motor driver to control two DC motors, all powered by a Li-ion 18650 battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi Pico W-Based Smart Home Automation System with Motion Detection and Environmental Monitoring
Image of Smart Home Automation 1: A project utilizing DFROBOT Microwave Sensor in a practical application
This circuit features a Raspberry Pi Pico W microcontroller connected to various sensors and actuators, including a DHT11 temperature and humidity sensor, an RCWL-0516 microwave radar motion sensor, a photocell (LDR) with a resistor for light detection, and a two-channel relay controlling a bulb and a fan. The microcontroller runs code to monitor environmental conditions and motion, displaying information on an LCD and allowing remote control via MQTT messages over Wi-Fi. It supports both automatic sensor-based operation and remote app control, with pushbuttons to switch between modes.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino Mega 2560 and ESP32 CAM Based Motion Detection and RFID Security System
Image of Arduino Mega Circuit: A project utilizing DFROBOT Microwave Sensor in a practical application
This circuit is designed for a multi-sensor motion detection system with image capture and RFID reading capabilities. It uses an Arduino Mega 2560 as the central processing unit, interfacing with microwave radar motion sensors, an ESP32 CAM, and RFID boards. Power management is handled by voltage regulators and DC-DC converters, and an Arduino MKR WiFi 1010 is included for potential wireless communication.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi Pico W-Based Smart Safety System with Flame Detection and Intruder Alerts
Image of final: A project utilizing DFROBOT Microwave Sensor in a practical application
This circuit is a multi-sensor monitoring system using a Raspberry Pi Pico W microcontroller. It includes a flame sensor, a buzzer module, a microphone, and a Hall effect sensor for detecting various environmental conditions such as fire, sound, and magnetic fields. The microcontroller is programmed to send notifications via Wi-Fi and activate the buzzer based on sensor inputs, potentially for a security or safety monitoring application.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with DFROBOT Microwave Sensor

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of Autonomous Mobile robot v1: A project utilizing DFROBOT Microwave Sensor in a practical application
Arduino UNO-Based Battery-Powered Robotic System with Ultrasonic Sensors and Magnetometer
This circuit is a sensor-based robotic system controlled by an Arduino UNO. It includes three HC-SR04 ultrasonic sensors for distance measurement, a QMC5883L magnetometer for orientation detection, and an L298N motor driver to control two DC motors, all powered by a Li-ion 18650 battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Smart Home Automation 1: A project utilizing DFROBOT Microwave Sensor in a practical application
Raspberry Pi Pico W-Based Smart Home Automation System with Motion Detection and Environmental Monitoring
This circuit features a Raspberry Pi Pico W microcontroller connected to various sensors and actuators, including a DHT11 temperature and humidity sensor, an RCWL-0516 microwave radar motion sensor, a photocell (LDR) with a resistor for light detection, and a two-channel relay controlling a bulb and a fan. The microcontroller runs code to monitor environmental conditions and motion, displaying information on an LCD and allowing remote control via MQTT messages over Wi-Fi. It supports both automatic sensor-based operation and remote app control, with pushbuttons to switch between modes.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Arduino Mega Circuit: A project utilizing DFROBOT Microwave Sensor in a practical application
Arduino Mega 2560 and ESP32 CAM Based Motion Detection and RFID Security System
This circuit is designed for a multi-sensor motion detection system with image capture and RFID reading capabilities. It uses an Arduino Mega 2560 as the central processing unit, interfacing with microwave radar motion sensors, an ESP32 CAM, and RFID boards. Power management is handled by voltage regulators and DC-DC converters, and an Arduino MKR WiFi 1010 is included for potential wireless communication.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of final: A project utilizing DFROBOT Microwave Sensor in a practical application
Raspberry Pi Pico W-Based Smart Safety System with Flame Detection and Intruder Alerts
This circuit is a multi-sensor monitoring system using a Raspberry Pi Pico W microcontroller. It includes a flame sensor, a buzzer module, a microphone, and a Hall effect sensor for detecting various environmental conditions such as fire, sound, and magnetic fields. The microcontroller is programmed to send notifications via Wi-Fi and activate the buzzer based on sensor inputs, potentially for a security or safety monitoring application.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • Automated lighting control
  • Intrusion detection systems
  • Traffic monitoring
  • Automatic door openers
  • Presence detection for energy-saving systems

Technical Specifications

Key Technical Details

  • Operating Voltage: 5V DC
  • Operating Current: 30mA
  • Output Power: <0.2mW
  • Detection Distance: Up to 7 meters
  • Detection Angle: Approximately 360 degrees
  • Frequency: 2.45GHz
  • Output Type: Digital (High/Low signal)

Pin Configuration and Descriptions

Pin Number Name Description
1 VCC Power supply (5V DC)
2 GND Ground connection
3 OUT Digital output signal
4 NC Not connected

Usage Instructions

How to Use the Component in a Circuit

  1. Power Supply: Connect the VCC pin to a 5V power source and the GND pin to the ground.
  2. Output Signal: Connect the OUT pin to a digital input on your microcontroller, such as an Arduino UNO.
  3. Mounting: Position the sensor in the desired location, ensuring a clear field of view for motion detection.

Important Considerations and Best Practices

  • Avoid Obstructions: Ensure that the sensor's field of view is not obstructed by objects that could interfere with microwave signal detection.
  • Stable Power Supply: Use a regulated power supply to prevent false triggering due to voltage fluctuations.
  • Interference: Be aware of potential interference from other devices operating at 2.45GHz.
  • Testing: Test the sensor in the intended environment to fine-tune its placement and sensitivity.

Example Code for Arduino UNO

// Define the sensor output pin
const int microwaveSensorPin = 2; // Connect to the OUT pin of the sensor

void setup() {
  // Initialize the sensor output pin as an input
  pinMode(microwaveSensorPin, INPUT);
  // Begin serial communication at 9600 baud rate
  Serial.begin(9600);
}

void loop() {
  // Read the sensor value
  int sensorValue = digitalRead(microwaveSensorPin);
  // Check if the sensor is detecting motion
  if (sensorValue == HIGH) {
    // Motion detected
    Serial.println("Motion Detected!");
  } else {
    // No motion detected
    Serial.println("No Motion Detected.");
  }
  // Wait for a short period before reading again
  delay(500);
}

Troubleshooting and FAQs

Common Issues Users Might Face

  • False Triggers: If the sensor is giving false positives, check for sources of interference or adjust the sensor's placement.
  • No Detection: Ensure the sensor is properly powered and that the OUT pin is correctly connected to the microcontroller.

Solutions and Tips for Troubleshooting

  • Power Issues: Verify that the sensor is receiving a stable 5V supply.
  • Interference: Try relocating the sensor away from devices that may cause electromagnetic interference.
  • Sensitivity: Adjust the sensor's position and orientation to optimize detection within the desired area.

FAQs

Q: Can the sensor detect motion through walls? A: No, the microwave sensor cannot detect motion through solid objects like walls.

Q: Is the sensor suitable for outdoor use? A: The sensor is not explicitly rated for outdoor use and may require additional protection from weather elements.

Q: How can I adjust the detection range of the sensor? A: The detection range is fixed and cannot be adjusted. Positioning and environmental factors can influence the effective detection range.

Q: What is the sensor's response time? A: The sensor typically has a fast response time, but this can be affected by the microcontroller's code and processing speed.

For further assistance, please contact DFROBOT technical support or refer to the official DFROBOT Microwave Sensor documentation.