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How to Use 24GHz mmWave Sensor for XIAO : Examples, Pinouts, and Specs

Image of 24GHz mmWave Sensor for XIAO
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Introduction

The 24GHz mmWave Sensor for XIAO by Seeed Studio is a compact and highly efficient sensor designed for motion detection and distance measurement. Operating at a frequency of 24GHz, this sensor leverages millimeter-wave technology to provide accurate and reliable data in a variety of environments. Its small form factor makes it an ideal choice for integration with Seeed Studio's XIAO microcontroller platforms, enabling developers to create innovative IoT, robotics, and automation projects.

Explore Projects Built with 24GHz mmWave Sensor for XIAO

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 and Seeed mmWave 24GHz Sensor for Proximity Detection
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This circuit consists of an Arduino UNO microcontroller connected to a Seeed mmWave 24GHz sensor. The Arduino UNO provides power to the sensor and communicates with it via analog pins A2 and A3, which are connected to the sensor's Tx and Rx pins, respectively.
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Battery-Powered ESP32 and LoRa-Based Soil Moisture Monitoring System
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This circuit is a wireless sensor system powered by a 18650 Li-Ion battery, featuring an ESP32 microcontroller that reads data from an ADXL345 accelerometer and a DFRobot capacitive soil moisture sensor. The ESP32 also communicates with a LoRa Ra-02 SX1278 module for long-range data transmission.
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Smart Weighing System with ESP8266 and HX711 - Battery Powered and Wi-Fi Enabled
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This circuit is a multi-sensor data acquisition system powered by a 18650 battery and managed by an ESP8266 microcontroller. It includes a load sensor interfaced with an HX711 module for weight measurement, an IR sensor, an ADXL345 accelerometer, a VL53L0X distance sensor, and a Neo 6M GPS module for location tracking. The system is designed for wireless data transmission and is supported by a TP4056 module for battery charging.
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Raspberry Pi Zero W-Based Health Monitoring System with LoRa and GPS
Image of PET COLLAR: A project utilizing 24GHz mmWave Sensor for XIAO  in a practical application
This circuit is a multi-sensor data acquisition system powered by a Raspberry Pi Zero W. It integrates various sensors including a temperature sensor (LM35), an MPU-6050 accelerometer and gyroscope, a MAX30102 pulse oximeter, a GPS module, and a LoRa module for wireless communication. The system collects environmental and physiological data, which can be transmitted wirelessly via the LoRa module.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with 24GHz mmWave Sensor for XIAO

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 Seeed to Arduino UNO: A project utilizing 24GHz mmWave Sensor for XIAO  in a practical application
Arduino UNO and Seeed mmWave 24GHz Sensor for Proximity Detection
This circuit consists of an Arduino UNO microcontroller connected to a Seeed mmWave 24GHz sensor. The Arduino UNO provides power to the sensor and communicates with it via analog pins A2 and A3, which are connected to the sensor's Tx and Rx pins, respectively.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of thesis: A project utilizing 24GHz mmWave Sensor for XIAO  in a practical application
Battery-Powered ESP32 and LoRa-Based Soil Moisture Monitoring System
This circuit is a wireless sensor system powered by a 18650 Li-Ion battery, featuring an ESP32 microcontroller that reads data from an ADXL345 accelerometer and a DFRobot capacitive soil moisture sensor. The ESP32 also communicates with a LoRa Ra-02 SX1278 module for long-range data transmission.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of gggg: A project utilizing 24GHz mmWave Sensor for XIAO  in a practical application
Smart Weighing System with ESP8266 and HX711 - Battery Powered and Wi-Fi Enabled
This circuit is a multi-sensor data acquisition system powered by a 18650 battery and managed by an ESP8266 microcontroller. It includes a load sensor interfaced with an HX711 module for weight measurement, an IR sensor, an ADXL345 accelerometer, a VL53L0X distance sensor, and a Neo 6M GPS module for location tracking. The system is designed for wireless data transmission and is supported by a TP4056 module for battery charging.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of PET COLLAR: A project utilizing 24GHz mmWave Sensor for XIAO  in a practical application
Raspberry Pi Zero W-Based Health Monitoring System with LoRa and GPS
This circuit is a multi-sensor data acquisition system powered by a Raspberry Pi Zero W. It integrates various sensors including a temperature sensor (LM35), an MPU-6050 accelerometer and gyroscope, a MAX30102 pulse oximeter, a GPS module, and a LoRa module for wireless communication. The system collects environmental and physiological data, which can be transmitted wirelessly via the LoRa module.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • Motion detection for smart home automation
  • Distance measurement in robotics and drones
  • Presence detection in security systems
  • Gesture recognition for touchless interfaces
  • Industrial automation and monitoring

Technical Specifications

The following table outlines the key technical details of the 24GHz mmWave Sensor for XIAO:

Parameter Specification
Operating Frequency 24GHz
Detection Range 0.5m to 10m
Field of View (FoV) ±60°
Operating Voltage 3.3V to 5V
Operating Current ≤50mA
Communication Interface UART (default baud rate: 115200 bps)
Dimensions 22mm x 20mm x 6mm
Operating Temperature -40°C to +85°C

Pin Configuration and Descriptions

The sensor features a 4-pin interface for easy connection to the XIAO microcontroller. The pinout is as follows:

Pin Name Description
1 VCC Power supply input (3.3V to 5V)
2 GND Ground
3 TX UART Transmit (data output from sensor)
4 RX UART Receive (data input to sensor)

Usage Instructions

How to Use the Sensor in a Circuit

  1. Power the Sensor: Connect the VCC pin to a 3.3V or 5V power source and the GND pin to ground.
  2. Connect to XIAO: Use the TX and RX pins to establish a UART connection with the XIAO microcontroller. Ensure that the TX pin of the sensor is connected to the RX pin of the XIAO, and vice versa.
  3. Load the Code: Upload the appropriate code to the XIAO microcontroller to initialize the sensor and process the data.

Important Considerations and Best Practices

  • Power Supply: Ensure a stable power supply to avoid fluctuations that may affect sensor performance.
  • Placement: Mount the sensor in a location free from obstructions to maximize its detection range and accuracy.
  • UART Configuration: Verify that the UART baud rate is set to 115200 bps for proper communication.
  • Environmental Factors: The sensor is designed to operate in a wide temperature range, but extreme environmental conditions (e.g., heavy rain or dense fog) may impact its performance.

Example Code for Arduino UNO-Compatible XIAO

Below is an example code snippet to interface the 24GHz mmWave Sensor with a XIAO microcontroller:

// Include the SoftwareSerial library for UART communication
#include <SoftwareSerial.h>

// Define the RX and TX pins for the sensor
#define SENSOR_RX 6  // Connect to the TX pin of the sensor
#define SENSOR_TX 7  // Connect to the RX pin of the sensor

// Create a SoftwareSerial object for the sensor
SoftwareSerial mmWaveSerial(SENSOR_RX, SENSOR_TX);

void setup() {
  // Initialize the serial communication for debugging
  Serial.begin(115200);
  // Initialize the sensor's UART communication
  mmWaveSerial.begin(115200);

  Serial.println("24GHz mmWave Sensor Initialized");
}

void loop() {
  // Check if data is available from the sensor
  if (mmWaveSerial.available()) {
    // Read and print the data from the sensor
    String sensorData = mmWaveSerial.readString();
    Serial.println("Sensor Data: " + sensorData);
  }

  delay(100); // Add a small delay to avoid overwhelming the serial buffer
}

Troubleshooting and FAQs

Common Issues and Solutions

  1. No Data Output from the Sensor

    • Cause: Incorrect UART connection or baud rate mismatch.
    • Solution: Double-check the wiring and ensure the baud rate is set to 115200 bps.
  2. Inconsistent Readings

    • Cause: Environmental interference or unstable power supply.
    • Solution: Ensure the sensor is placed in a clear area and use a stable power source.
  3. Sensor Not Detected by XIAO

    • Cause: Incorrect pin connections or faulty sensor.
    • Solution: Verify the pin connections and test the sensor with another microcontroller.

FAQs

  • Q: Can the sensor detect objects through walls or glass?
    A: The sensor can detect objects through certain materials, but dense or metallic barriers may block the signal.

  • Q: Is the sensor compatible with other microcontrollers?
    A: Yes, the sensor can be used with other microcontrollers that support UART communication.

  • Q: How can I extend the detection range?
    A: The detection range is hardware-limited to 10m. For longer ranges, consider using a different sensor model.

This documentation provides a comprehensive guide to using the 24GHz mmWave Sensor for XIAO. For further assistance, refer to the official Seeed Studio resources or community forums.