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How to Use 10.525GHz Doppler Effect Microwave Motion Sensor : Examples, Pinouts, and Specs

Image of 10.525GHz Doppler Effect Microwave Motion Sensor
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Introduction

The 10.525GHz Doppler Effect Microwave Motion Sensor by CQRobot is a sophisticated sensor designed to detect motion through the Doppler effect. It emits microwaves at a frequency of 10.525GHz and measures the frequency shift of the reflected waves to determine the presence and movement of objects. This sensor is highly effective in various applications, including security systems, automatic lighting, and industrial automation.

Explore Projects Built with 10.525GHz Doppler Effect Microwave Motion 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 Mega 2560 and ESP32 CAM Based Motion Detection and RFID Security System
Image of Arduino Mega Circuit: A project utilizing 10.525GHz Doppler Effect Microwave Motion 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
Arduino-Based Doppler Radar with RF Transmission and LCD Display
Image of Doppler Radar: A project utilizing 10.525GHz Doppler Effect Microwave Motion Sensor  in a practical application
This circuit features an Arduino UNO microcontroller interfaced with an RF 433 MHz Transmitter, a Transmitter RF Module, an LCD screen with I2C communication, and a doppler radar sensor. The Arduino controls the RF transmission and processes the doppler radar's signal, likely for motion detection purposes. The LCD screen is used to display information or statuses, and the RF modules enable wireless communication, possibly to transmit the processed radar data.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino Nano-Based Motion Tracking and Wireless Communication System
Image of Transmitter: A project utilizing 10.525GHz Doppler Effect Microwave Motion Sensor  in a practical application
This circuit features an Arduino Nano microcontroller interfaced with an MPU-6050 motion sensor and an NRF24L01 wireless communication module. The Arduino Nano is powered by a 12v battery and regulates the voltage for the NRF24L01 module. The MPU-6050 communicates with the Arduino via I2C (using A4 and A5 pins for SDA and SCL), while the NRF24L01 uses SPI (with pins D11/MOSI, D12/MISO, D13/SCK) and digital pins D8 and D9 for CE and CSN signals, enabling wireless data transmission of the sensor's motion data.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO Controlled Motion Detection and Wireless Communication System
Image of Hand_UAV_Controller: A project utilizing 10.525GHz Doppler Effect Microwave Motion Sensor  in a practical application
This circuit features an Arduino UNO microcontroller interfaced with an InvenSense MPU6050 accelerometer/gyroscope for motion sensing and an NRF24L01 module for wireless communication. The Arduino reads the MPU6050 data to determine orientation and motion, and uses button inputs to trigger different wireless commands sent via the NRF24L01. The circuit likely serves as a wireless motion-controlled interface for applications such as remote-controlled devices or interactive systems.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with 10.525GHz Doppler Effect Microwave Motion 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 Arduino Mega Circuit: A project utilizing 10.525GHz Doppler Effect Microwave Motion 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 Doppler Radar: A project utilizing 10.525GHz Doppler Effect Microwave Motion Sensor  in a practical application
Arduino-Based Doppler Radar with RF Transmission and LCD Display
This circuit features an Arduino UNO microcontroller interfaced with an RF 433 MHz Transmitter, a Transmitter RF Module, an LCD screen with I2C communication, and a doppler radar sensor. The Arduino controls the RF transmission and processes the doppler radar's signal, likely for motion detection purposes. The LCD screen is used to display information or statuses, and the RF modules enable wireless communication, possibly to transmit the processed radar data.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Transmitter: A project utilizing 10.525GHz Doppler Effect Microwave Motion Sensor  in a practical application
Arduino Nano-Based Motion Tracking and Wireless Communication System
This circuit features an Arduino Nano microcontroller interfaced with an MPU-6050 motion sensor and an NRF24L01 wireless communication module. The Arduino Nano is powered by a 12v battery and regulates the voltage for the NRF24L01 module. The MPU-6050 communicates with the Arduino via I2C (using A4 and A5 pins for SDA and SCL), while the NRF24L01 uses SPI (with pins D11/MOSI, D12/MISO, D13/SCK) and digital pins D8 and D9 for CE and CSN signals, enabling wireless data transmission of the sensor's motion data.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Hand_UAV_Controller: A project utilizing 10.525GHz Doppler Effect Microwave Motion Sensor  in a practical application
Arduino UNO Controlled Motion Detection and Wireless Communication System
This circuit features an Arduino UNO microcontroller interfaced with an InvenSense MPU6050 accelerometer/gyroscope for motion sensing and an NRF24L01 module for wireless communication. The Arduino reads the MPU6050 data to determine orientation and motion, and uses button inputs to trigger different wireless commands sent via the NRF24L01. The circuit likely serves as a wireless motion-controlled interface for applications such as remote-controlled devices or interactive systems.
Cirkit Designer LogoOpen Project in Cirkit Designer

Technical Specifications

Key Technical Details

Parameter Value
Operating Voltage 5V DC
Operating Current 30mA
Frequency 10.525GHz
Detection Range Up to 20 meters
Output Type Digital (High/Low)
Operating Temperature -20°C to +60°C
Dimensions 45mm x 40mm x 10mm

Pin Configuration and Descriptions

Pin Number Pin Name Description
1 VCC Power supply (5V DC)
2 GND Ground
3 OUT Digital output (High/Low)
4 EN Enable pin (active high)

Usage Instructions

How to Use the Component in a Circuit

  1. Power Supply: Connect the VCC pin to a 5V DC power supply and the GND pin to the ground.
  2. Output Signal: The OUT pin provides a digital signal. When motion is detected, the output goes high; otherwise, it remains low.
  3. Enable Pin: The EN pin is used to enable or disable the sensor. Connect it to a high signal (5V) to enable the sensor.

Important Considerations and Best Practices

  • Placement: Ensure the sensor is placed in a location where it has a clear line of sight to the area being monitored.
  • Interference: Avoid placing the sensor near other electronic devices that may cause interference.
  • Power Supply: Use a stable 5V DC power supply to ensure reliable operation.
  • Testing: Test the sensor in the actual environment where it will be used to ensure optimal performance.

Example Circuit with Arduino UNO

/*
 * Example code to interface the 10.525GHz Doppler Effect Microwave Motion
 * Sensor with an Arduino UNO.
 */

const int sensorPin = 2; // Pin connected to the sensor's OUT pin
const int ledPin = 13;   // Pin connected to an LED for indication

void setup() {
  pinMode(sensorPin, INPUT); // Set sensor pin as input
  pinMode(ledPin, OUTPUT);   // Set LED pin as output
  Serial.begin(9600);        // Initialize serial communication
}

void loop() {
  int sensorValue = digitalRead(sensorPin); // Read the sensor output

  if (sensorValue == HIGH) {
    digitalWrite(ledPin, HIGH); // Turn on the LED if motion is detected
    Serial.println("Motion detected!");
  } else {
    digitalWrite(ledPin, LOW);  // Turn off the LED if no motion is detected
    Serial.println("No motion.");
  }

  delay(100); // Small delay to avoid serial flooding
}

Troubleshooting and FAQs

Common Issues Users Might Face

  1. False Positives: The sensor may occasionally detect motion when there is none.
  2. No Detection: The sensor does not detect any motion even when there is movement.
  3. Interference: Other electronic devices may cause interference, leading to unreliable readings.

Solutions and Tips for Troubleshooting

  • False Positives: Ensure the sensor is not placed near sources of interference such as fans or other moving objects.
  • No Detection: Check the power supply and connections. Ensure the sensor is enabled and the area is within the detection range.
  • Interference: Move the sensor away from other electronic devices and ensure it has a clear line of sight.

FAQs

Q: Can the sensor detect motion through walls? A: The sensor can detect motion through certain materials, but its effectiveness is reduced. It is best used in open spaces.

Q: What is the maximum detection range? A: The sensor can detect motion up to 20 meters in optimal conditions.

Q: Can I use the sensor outdoors? A: The sensor can be used outdoors, but it should be protected from direct exposure to harsh weather conditions.

Q: How do I adjust the sensitivity? A: The sensitivity is fixed and cannot be adjusted. However, placement and environmental factors can affect detection performance.


This documentation provides a comprehensive guide to using the 10.525GHz Doppler Effect Microwave Motion Sensor by CQRobot. Whether you are a beginner or an experienced user, following these guidelines will help you effectively integrate this sensor into your projects.