1. Introduction
The diymore HLK-TX510 is an advanced AI Face Recognition Module designed for various embedded applications. It integrates a 3D binocular camera and a powerful visual processing chip to provide accurate and reliable live face detection and discrimination. This module supports serial communication, making it suitable for integration into smart devices requiring robust facial recognition capabilities without the need for external networking.
2. Key Features
- 3D Structured Light Engine: Supports single/binocular 3D structured light for enhanced live detection.
- Anti-Spoofing: Effectively resists 2D and 3D attacks, such as photos, videos, and masks, ensuring high security.
- High Recognition Rate: Achieves a recognition rate of over 90% with a misrecognition rate of 1 in 10,000,000.
- Fast Response Time: Live detection response time is less than 30ms.
- Ultra-Low Power Consumption: Utilizes a reconfigurable visual processing chip with a typical power consumption of only 40mW.
- Powerful Processing: Features a RISC32 core with a main frequency of 400MHz and 2TOPS peak computing power.
- Large Face Database: Capable of storing up to 1000 face features.
- Offline Operation: Pure offline AI face recognition, eliminating the need for networking or live identification via TTL serial communication.
3. Technical Specifications
3.1 Module Parameters (TX510)
| Parameter | Value |
|---|---|
| Product Model | TX510 |
| Main Frequency | 400MHz (configurable) |
| Recognition Rate | >90% (Misrecognition rate: 1 in 10,000,000) |
| Single Identification Time | <100ms |
| Detection Frame Rate | 30 frames/second |
| Comparison Time | <50ms (with 100,000 face database) |
| Sleep Wake-up Time | <100ms |
3.2 Development Board Parameters
| Parameter | Value |
|---|---|
| Power Supply Requirements | 5V/2A |
| Equipped Screen | 2.8 inch parallel screen |
| Matching Camera | IR+RGB binocular camera |
| Power Supply Interface | TYPE-C port * 2 |
| External Dimensions (Module) | 31 * 31 * 2.4mm |
| External Dimensions (Development Board) | 96 * 64 * 14.5mm |
3.3 Physical Dimensions
4. Setup Instructions
This section outlines the basic steps for setting up the HLK-TX510 AI Face Recognition Module. Ensure all components are handled with care to prevent damage.
4.1 Components Overview
4.2 Connection Steps
- Connect the Binocular Camera: Carefully attach the IR+RGB binocular camera to the designated camera interface on the development board. Ensure the connection is secure and correctly oriented.
- Connect the Screen (Optional): If using the 2.8-inch parallel screen, connect it to the appropriate display interface on the development board.
- Power Supply: Connect a 5V/2A power supply to one of the TYPE-C ports on the development board. Ensure the power source meets the specified requirements to avoid damage or unstable operation.
- Serial Communication: For data communication and control, connect your host system (e.g., microcontroller, PC) to the development board via the serial communication interface. Refer to the module's technical documentation for specific pinouts and communication protocols.
5. Operation Guide
The HLK-TX510 module is designed for integration into larger systems. Its operation primarily involves software interaction via serial communication.
5.1 Initial Power-Up and Self-Test
Upon applying power, the module will initiate a self-test sequence. The screen (if connected) may display boot-up information. Observe any indicator LEDs for status. If the module fails to boot, check power connections and ensure the power supply meets the 5V/2A requirement.
5.2 Face Recognition Process
The module uses its 3D binocular camera and structured light engine to capture facial data. The internal AI processing unit then performs live detection and recognition. The process typically involves:
- Face Detection: The camera detects a human face within its field of view.
- Liveness Detection: The 3D structured light engine verifies if the detected face is live, preventing spoofing attempts.
- Feature Extraction: Key facial features are extracted and compared against the stored face database.
- Recognition Output: The module outputs a recognition result (e.g., recognized ID, confidence score, or 'unknown') via serial communication.
For detailed commands and data formats for serial communication, please refer to the official SDK documentation or developer guide provided by diymore.
6. Application Scenarios
The HLK-TX510 module's robust and offline facial recognition capabilities make it ideal for a wide range of applications:
- Smart Home: Access control, personalized device settings, and security systems.
- Security Monitoring: Enhanced surveillance with identity verification.
- Smart Door Locks: Keyless entry and secure access for residential and commercial properties.
- Mobile Shelves/Vending Machines: User authentication for personalized services or secure transactions.
- Aerial Cameras (Drones): Object tracking and identification.
- Robot Vision: Enabling robots to recognize individuals and interact intelligently.
7. Maintenance
To ensure the longevity and optimal performance of your HLK-TX510 module, follow these general maintenance guidelines:
- Keep Clean: Regularly clean the camera lens and module surface with a soft, dry, lint-free cloth. Avoid using abrasive cleaners or solvents.
- Environmental Conditions: Operate and store the module within its specified temperature and humidity ranges. Avoid extreme temperatures, direct sunlight, and high moisture environments.
- Power Supply: Always use a stable and correctly rated 5V/2A power supply. Unstable power can lead to erratic behavior or damage.
- Firmware Updates: Check the manufacturer's website periodically for firmware updates. Updates can improve performance, add features, or fix bugs. Follow the provided instructions carefully when performing updates.
- Physical Protection: Protect the module from physical shock, vibration, and electrostatic discharge.
8. Troubleshooting
If you encounter issues with your HLK-TX510 module, try the following troubleshooting steps:
8.1 Common Issues and Solutions
- Module Not Powering On:
- Verify the power supply is connected correctly to a TYPE-C port.
- Ensure the power supply provides 5V/2A. Try a different power adapter if available.
- No Face Detection/Recognition:
- Check if the camera is securely connected and its lens is clean and unobstructed.
- Ensure adequate lighting in the environment. Avoid strong backlighting or very dim conditions.
- Confirm the subject is within the camera's optimal detection range and angle.
- Verify that the face database is correctly loaded and configured if applicable.
- Incorrect Recognition/High Error Rate:
- Ensure the camera lens is clean.
- Check for environmental factors like glare or reflections.
- Recalibrate the module if such an option is available in the SDK.
- Update to the latest firmware.
- Serial Communication Issues:
- Verify serial port connections (TX, RX, GND).
- Ensure baud rates and other serial parameters match between the module and your host system.
- Check for any software conflicts on the host system.
If problems persist after attempting these steps, please contact diymore customer support for further assistance.
9. Warranty and Support
diymore products are manufactured to high-quality standards. For specific warranty information, please refer to the purchase agreement or contact your vendor. General support information is as follows:
- Technical Support: For technical inquiries, integration assistance, or advanced troubleshooting, please visit the official diymore website or contact their technical support team.
- Returns and Refunds: This product may be eligible for free returns within 90 days of purchase. Please check the seller's return policy for details.
- Fast Delivery Guarantee: The seller offers fast delivery with potential compensation (e.g., $1.00 coupon) for late delivery, and refunds for lost or damaged packages.
- Security & Privacy: diymore is committed to protecting your personal details and ensuring safe payments.
Always retain your proof of purchase for warranty claims.
10. Additional Information
10.1 Product Images
