JMT FM225
FM225 Facial Recognition Module User Manual
മോഡൽ: FM225
1. ആമുഖം
The JMT FM225 Facial Recognition Module is an advanced 3D facial recognition camera designed for intelligent offline applications. Utilizing deep learning infrared facial recognition algorithms, this module provides highly accurate and reliable live detection capabilities, making it suitable for integration into smart homes, security monitoring systems, smart door locks, mobile vending machines, and various other fields requiring robust biometric authentication.
This manual provides comprehensive instructions for the setup, operation, maintenance, and troubleshooting of your FM225 module.
2 സുരക്ഷാ വിവരങ്ങൾ
- Ensure the power supply meets the specified requirements (DC5.5V~9V@1A) to prevent damage to the module.
- Do not expose the module to extreme temperatures outside the working range (-20°C to +60°C) or storage range (-30°C to +70°C).
- Avoid environments with high humidity (above 93% without condensation) to prevent electrical short circuits.
- Handle the module with care to prevent physical damage. Avoid dropping or subjecting it to strong impacts.
- Do not attempt to disassemble or modify the module, as this will void the warranty and may cause malfunction.
- മൊഡ്യൂൾ വെള്ളത്തിൽ നിന്നും മറ്റ് ദ്രാവകങ്ങളിൽ നിന്നും അകറ്റി നിർത്തുക.
3. Package Contents (Kit A)
പാക്കേജ് തുറക്കുമ്പോൾ, ഇനിപ്പറയുന്ന എല്ലാ ഘടകങ്ങളും ഉണ്ടെന്ന് ഉറപ്പാക്കുക:

Image: Contents of the FM225 Facial Recognition Module Kit A, including the module, a USB cable, and a set of connection wires.
- 1x FM225 Facial Recognition Module
- 1x USB Communication Cable
- 1x Set of Connection Wires (for UART/power)
4. ഉൽപ്പന്നം കഴിഞ്ഞുview
The FM225 module is a compact and powerful facial recognition solution. It features dual infrared cameras for 3D depth sensing and a central infrared illuminator for reliable performance in various lighting conditions. The module supports both UART and USB communication interfaces for flexible integration.

ചിത്രം: വിശദമായ ഒരു മുകളിൽ നിന്ന് താഴേക്ക് view of the FM225 module, highlighting the two camera lenses and the central infrared illuminator.
പ്രധാന സവിശേഷതകൾ:
- Deep Learning Infrared Facial Recognition: Advanced algorithms for high accuracy.
- തത്സമയ കണ്ടെത്തൽ: Prevents spoofing attempts.
- ഓഫ്ലൈൻ പ്രവർത്തനം: Capable of performing recognition without an internet connection.
- High Recognition Accuracy: 98.85% accuracy rate.
- Large Face Capacity: Stores up to 100 facial features.
- Flexible Communication: UART and USB interfaces.
5. സജ്ജീകരണം
This section details the physical connection and initial setup of the FM225 module.
5.1 പിൻഔട്ട് ഡയഗ്രം
Refer to the diagram below for the pin assignments for both UART and USB interfaces.

Image: Schematic diagram illustrating the UART (1-4) and USB (1-5) pin connections on the FM225 module's circuit board.
5.2 Connecting the Module
- പവർ കണക്ഷൻ: Connect the module to a stable DC power supply within the range of 5.5V to 9V at 1A. Ensure correct polarity.
- ആശയവിനിമയ ഇൻ്റർഫേസ്:
- UART: Use the provided connection wires to interface with your host system via UART. Refer to the pinout diagram for TX/RX and GND connections.
- USB: Connect the module to your host system using the provided USB cable. This interface is typically used for data transfer and configuration.
- മൗണ്ടിംഗ്: Securely mount the module in its intended location, ensuring the camera lenses have a clear, unobstructed view of the area where facial recognition will occur. Consider the optimal recognition distance (0.3m to 1.1m) and height (1.35m to 2.20m).
6. പ്രവർത്തന നിർദ്ദേശങ്ങൾ
The FM225 module operates primarily through commands sent via its communication interfaces. Specific software or SDKs provided by the manufacturer are typically required for full functionality, including face enrollment and recognition.
6.1 Face Enrollment
To enroll a new face into the module's memory:
- Ensure the module is powered on and connected to your host system.
- Use the manufacturer's provided software or send the appropriate UART/USB commands to initiate the enrollment process.
- Position the subject's face within the recognition distance (0.3m to 1.1m) and within the recognition angle (supports multi-angle input).
- Follow the on-screen prompts or command responses to complete the enrollment. The module can store up to 100 facial features.
6.2 മുഖം തിരിച്ചറിയൽ
Once faces are enrolled, the module can perform recognition:
- The module continuously scans for faces within its field of view.
- When a face is detected, the module compares it against its stored facial features.
- If a match is found with sufficient accuracy (98.85%), the module will output a recognition result via the chosen communication interface.
- The module's live detection feature helps prevent recognition from photos or videos.
7. പരിപാലനം
The FM225 module requires minimal maintenance to ensure optimal performance.
- വൃത്തിയാക്കൽ: Gently wipe the camera lenses with a soft, lint-free cloth. Do not use abrasive cleaners or solvents.
- പരിസ്ഥിതി: പ്രവർത്തന അന്തരീക്ഷം നിർദ്ദിഷ്ട താപനിലയിലും ഈർപ്പത്തിലും പരിധിക്കുള്ളിൽ തന്നെയാണെന്ന് ഉറപ്പാക്കുക.
- ഫേംവെയർ അപ്ഡേറ്റുകൾ: നിർമ്മാതാവിന്റെ webപ്രകടനം മെച്ചപ്പെടുത്തുന്നതിനോ പുതിയ സവിശേഷതകൾ ചേർക്കുന്നതിനോ ലഭ്യമായ ഏതെങ്കിലും ഫേംവെയർ അപ്ഡേറ്റുകൾക്കായി സൈറ്റ്.
8. പ്രശ്നപരിഹാരം
This section addresses common issues you might encounter with the FM225 module.
| പ്രശ്നം | സാധ്യമായ കാരണം | പരിഹാരം |
|---|---|---|
| മൊഡ്യൂൾ ഓണാക്കുന്നില്ല. | തെറ്റായ വൈദ്യുതി വിതരണം വോള്യംtage or current; reversed polarity; loose connection. | Verify power supply meets DC5.5V~9V@1A. Check power cable connections and polarity. |
| Facial recognition fails or is inaccurate. | Incorrect recognition distance/angle; poor lighting; dirty lenses; face not enrolled. | Ensure subject is within 0.3m-1.1m. Check lighting conditions. Clean camera lenses. Verify face is enrolled. |
| Communication issues (UART/USB). | Incorrect wiring; driver issues; incorrect baud rate/port settings. | Check pinout connections. Install necessary drivers on host system. Verify communication settings (baud rate, etc.). |
| Module becomes unresponsive. | Overheating; software error; power fluctuation. | Power cycle the module. Ensure adequate ventilation. Check power supply stability. |
9 സ്പെസിഫിക്കേഷനുകൾ
Detailed technical specifications for the FM225 Facial Recognition Module:
| പരാമീറ്റർ | മൂല്യം |
|---|---|
| ഉൽപ്പന്ന മോഡൽ | FM225 |
| ആശയവിനിമയ ഇൻ്റർഫേസ് | UART & USB |
| Facial Algorithm | Deep learning infrared facial recognition algorithms |
| Recognition Accuracy | 98.85% |
| Number of Faces | 100 facial features |
| തെറ്റായ തിരിച്ചറിയൽ നിരക്ക് | <0.0001% (parts per million) |
| FAR/FRR | <1% |
| തിരിച്ചറിയൽ ദൂരം | 0.3 ~ 1.1 മി |
| Height Recognition | 1.35 - 2.20m (@ 20°~23° tilt angle Left, right, up, down~20°) |
| തിരിച്ചറിയൽ ആംഗിൾ | Supports multi-angle facial input, expanding recognition range |
| പവർ സപ്ലൈ ആവശ്യകത | DC5.5V ~ 9V@1A |
| പ്രവർത്തന താപനില | -20°C ~ +60°C |
| സംഭരണ താപനില | -30°C ~ +70°C |
| പരിസ്ഥിതി ഈർപ്പം | 10% ~ 93% (കണ്ടൻസേഷൻ ഇല്ലാതെ) |
| Main Board Size | 40 * 15 * 10.65mm (non-integral size) |
| ബാധകമായ സാഹചര്യങ്ങൾ | Smart homes, security monitoring, smart door locks, mobile vending machines, and other fields |
10. വാറൻ്റിയും പിന്തുണയും
For warranty information, technical support, or further inquiries, please contact the manufacturer or your point of purchase. Keep your purchase receipt as proof of purchase for warranty claims.
Manufacturer: HI-LINK
Brand: JMT
For the latest documentation and software, please visit the official JMT store or HI-LINK support page.
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