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How to Use HLK-FM225 Face Recognition Module: Examples, Pinouts, and Specs

Image of HLK-FM225 Face Recognition Module
Cirkit Designer LogoDesign with HLK-FM225 Face Recognition Module in Cirkit Designer

Introduction

The HLK-FM225 is a compact and efficient face recognition module developed by HiLink. It leverages advanced algorithms to detect and recognize human faces with high accuracy and reliability. Designed for real-time processing, the module performs well under various lighting conditions, making it ideal for a wide range of applications.

Explore Projects Built with HLK-FM225 Face Recognition Module

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Biometric Access Control System with RFID and Touch Activation
Image of DOORLOCK1: A project utilizing HLK-FM225 Face Recognition Module in a practical application
This circuit is designed for security and identification purposes, featuring an RFID-RC522 module for contactless communication and a fingerprint scanner for biometric authentication. It includes an LCD display for user interaction, a touch sensor for input, a buzzer for audio feedback, and a relay module for controlling external devices. The components are interfaced with a NANO Expansion board, which likely contains a microcontroller to coordinate the operations of the system.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino Mega 2560 Based Security System with Fingerprint Authentication and SMS Alerts
Image of Door security system: A project utilizing HLK-FM225 Face Recognition Module in a practical application
This circuit features an Arduino Mega 2560 microcontroller interfaced with a SIM800L GSM module, two fingerprint scanners, an I2C LCD display, an IR sensor, and a piezo buzzer. Power management is handled by a PowerBoost 1000 Basic Pad USB, a TP4056 charging module, and a Li-ion 18650 battery, with an option to use a Mini AC-DC 110V-230V to 5V 700mA module for direct power supply. The primary functionality appears to be a security system with GSM communication capabilities, biometric access control, and visual/audible feedback.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-CAM and SIM800L Wi-Fi Controlled Smart Relay with DC Motor
Image of face recognition car on off engine using esp32cam: A project utilizing HLK-FM225 Face Recognition Module in a practical application
This circuit integrates an ESP32-CAM module for facial recognition and a SIM800L module for communication, controlling a DC motor via a 1-channel relay. The ESP32-CAM activates the relay to power the motor when a face match is detected, while the SIM800L provides additional communication capabilities.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO-Based Biometric and Voice-Controlled Security System
Image of Fingerprint and Voice Double Authentication Smart-Lock System: A project utilizing HLK-FM225 Face Recognition Module in a practical application
This circuit is designed as a security access control system that uses both a fingerprint scanner and a voice recognition module for dual-factor authentication. Upon successful fingerprint and voice recognition, an Arduino UNO controls a relay to unlock a 12V solenoid lock for a predetermined amount of time. The system also includes visual indicators (red and green LEDs) and an audible alert (buzzer) to signal the system's status and authentication results.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with HLK-FM225 Face Recognition Module

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 DOORLOCK1: A project utilizing HLK-FM225 Face Recognition Module in a practical application
Biometric Access Control System with RFID and Touch Activation
This circuit is designed for security and identification purposes, featuring an RFID-RC522 module for contactless communication and a fingerprint scanner for biometric authentication. It includes an LCD display for user interaction, a touch sensor for input, a buzzer for audio feedback, and a relay module for controlling external devices. The components are interfaced with a NANO Expansion board, which likely contains a microcontroller to coordinate the operations of the system.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Door security system: A project utilizing HLK-FM225 Face Recognition Module in a practical application
Arduino Mega 2560 Based Security System with Fingerprint Authentication and SMS Alerts
This circuit features an Arduino Mega 2560 microcontroller interfaced with a SIM800L GSM module, two fingerprint scanners, an I2C LCD display, an IR sensor, and a piezo buzzer. Power management is handled by a PowerBoost 1000 Basic Pad USB, a TP4056 charging module, and a Li-ion 18650 battery, with an option to use a Mini AC-DC 110V-230V to 5V 700mA module for direct power supply. The primary functionality appears to be a security system with GSM communication capabilities, biometric access control, and visual/audible feedback.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of face recognition car on off engine using esp32cam: A project utilizing HLK-FM225 Face Recognition Module in a practical application
ESP32-CAM and SIM800L Wi-Fi Controlled Smart Relay with DC Motor
This circuit integrates an ESP32-CAM module for facial recognition and a SIM800L module for communication, controlling a DC motor via a 1-channel relay. The ESP32-CAM activates the relay to power the motor when a face match is detected, while the SIM800L provides additional communication capabilities.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Fingerprint and Voice Double Authentication Smart-Lock System: A project utilizing HLK-FM225 Face Recognition Module in a practical application
Arduino UNO-Based Biometric and Voice-Controlled Security System
This circuit is designed as a security access control system that uses both a fingerprint scanner and a voice recognition module for dual-factor authentication. Upon successful fingerprint and voice recognition, an Arduino UNO controls a relay to unlock a 12V solenoid lock for a predetermined amount of time. The system also includes visual indicators (red and green LEDs) and an audible alert (buzzer) to signal the system's status and authentication results.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • Access Control Systems: Secure entry points by identifying authorized personnel.
  • Attendance Systems: Automate attendance tracking in workplaces or educational institutions.
  • Smart Home Devices: Enable personalized user experiences based on face recognition.
  • Retail and Marketing: Analyze customer demographics and behavior.
  • Robotics: Integrate face recognition for human-robot interaction.

Technical Specifications

The HLK-FM225 module is designed to deliver robust performance while maintaining a compact form factor. Below are its key technical details:

General Specifications

Parameter Value
Manufacturer HiLink
Part ID FM225
Operating Voltage 5V DC
Operating Current ≤ 200mA
Communication Interface UART (TTL)
Baud Rate Configurable (Default: 115200)
Recognition Speed ≤ 1 second
Recognition Distance 0.3m to 2m
Operating Temperature -20°C to 60°C
Dimensions 50mm x 40mm x 15mm

Pin Configuration and Descriptions

The HLK-FM225 module features a 4-pin interface for easy integration into various systems. Below is the pinout description:

Pin Number Pin Name Description
1 VCC Power supply input (5V DC)
2 GND Ground
3 TX UART Transmit (Data output)
4 RX UART Receive (Data input)

Usage Instructions

The HLK-FM225 module is straightforward to use and can be integrated into a variety of systems. Below are the steps and best practices for using the module:

Connecting the Module

  1. Power Supply: Connect the VCC pin to a 5V DC power source and the GND pin to ground.
  2. UART Communication: Connect the TX pin of the module to the RX pin of your microcontroller, and the RX pin of the module to the TX pin of your microcontroller.
  3. Baud Rate Configuration: Ensure the UART baud rate of your microcontroller matches the module's default baud rate (115200) or configure it as needed.

Example: Using HLK-FM225 with Arduino UNO

Below is an example of how to interface the HLK-FM225 module with an Arduino UNO for basic face recognition functionality:

#include <SoftwareSerial.h>

// Define the RX and TX pins for SoftwareSerial
SoftwareSerial faceModule(10, 11); // RX = Pin 10, TX = Pin 11

void setup() {
  Serial.begin(9600); // Initialize Serial Monitor at 9600 baud
  faceModule.begin(115200); // Initialize HLK-FM225 at 115200 baud

  Serial.println("HLK-FM225 Face Recognition Module Test");
  delay(1000);

  // Send initialization command to the module
  faceModule.println("AT+INIT");
  delay(500);

  // Check for module response
  if (faceModule.available()) {
    while (faceModule.available()) {
      Serial.write(faceModule.read()); // Print module response to Serial Monitor
    }
  } else {
    Serial.println("No response from HLK-FM225 module.");
  }
}

void loop() {
  // Continuously check for face recognition results
  if (faceModule.available()) {
    while (faceModule.available()) {
      char c = faceModule.read();
      Serial.write(c); // Print recognition data to Serial Monitor
    }
  }
}

Important Considerations and Best Practices

  • Power Supply: Ensure a stable 5V DC power source to avoid performance issues.
  • Lighting Conditions: While the module performs well in various lighting conditions, avoid direct sunlight or extremely low light for optimal results.
  • Distance and Angle: Position the module within the recommended recognition distance (0.3m to 2m) and ensure the face is within the field of view.
  • UART Communication: Use appropriate level shifters if interfacing with a 3.3V microcontroller.

Troubleshooting and FAQs

Common Issues and Solutions

  1. No Response from the Module

    • Cause: Incorrect wiring or baud rate mismatch.
    • Solution: Double-check the connections and ensure the UART baud rate matches the module's configuration.
  2. Recognition Fails Frequently

    • Cause: Poor lighting or incorrect positioning.
    • Solution: Improve lighting conditions and ensure the face is within the recommended distance and angle.
  3. Module Restarts Unexpectedly

    • Cause: Insufficient power supply.
    • Solution: Use a stable 5V DC power source with sufficient current capacity.
  4. Data Corruption in UART Communication

    • Cause: Noise or interference in the communication lines.
    • Solution: Use shorter wires and ensure proper grounding.

FAQs

Q1: Can the HLK-FM225 store multiple face templates?
A1: Yes, the module can store multiple face templates for recognition. The exact capacity depends on the firmware version.

Q2: Is the module compatible with 3.3V microcontrollers?
A2: Yes, but you need to use level shifters for the UART communication lines.

Q3: Can the module work outdoors?
A3: While the module is designed for various lighting conditions, it is recommended to avoid direct sunlight for optimal performance.

Q4: How do I reset the module to factory settings?
A4: Send the AT+RESET command via UART to reset the module to its default settings.

This concludes the documentation for the HLK-FM225 Face Recognition Module. For further assistance, refer to the manufacturer's datasheet or contact HiLink support.