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LIPSFace HW-Series On-Device 3D Facial Recognition: A Comprehensive Overview

Updated: Mar 9, 2023


If you're looking for an advanced facial recognition solution, LIPSFace HW-Series On-Device 3D Facial Recognition Camera Kit is the perfect fit. It is a state-of-the-art camera kit that comes with both facial recognition and liveness detection features, delivering precise and reliable 3D facial recognition while blocking spoofing attacks. With a depth accuracy of 0.3% @100cm, this camera kit ensures top-notch security and accuracy for user authentication. Furthermore, the device is equipped with 940nm VCSEL, making it suitable for indoor and outdoor deployment even in harsh light conditions.


Achieve High-Level Security with LIPSFace HW-Series


LIPSFace HW-Series enables you to develop a facial authentication solution that safeguards against unauthorized access with a Spoof Acceptance Rate (SAR) of less than 0.001%, True Acceptance Rate (TAR) of 99.00%, and a False Acceptance Rate (FAR) of one in a million. Additionally, the facial recognition process is incredibly fast and easy. It takes less than a second to recognize and authenticate registered users, making it a hassle-free experience.


This on-device 3D facial recognition & anti-spoofing authentication can store up to 1,000 IDs, which means it is suitable for businesses of any size.


Supported Platforms


The LIPSFace HW-Series On-Device 3D Facial Recognition Camera Kit works with the following platforms:

  • Windows 10 (tested on windows 10, msvc 2017)

  • Linux Ubuntu 18.04/20.04 LTS (tested on ubuntu 18, gcc 7.5+)

Software Architecture

Build

Use CMake version 3.1 or above:

$ cd C:\Program Files\OpenNI2\LIPS_Samples\Ni2FaceRecognition-gl
$ mkdir Build
$ cd Build
$ cmake ..

Sample Code for Face Recognition


The LIPSFace HW-Series On-Device 3D Facial Recognition Camera Kit's sample code demonstrates the basic usage of the library. It shows how to register a new user, how to recognize a user, and how to delete faces from the database.


Notice: The sample codes as below are based on HW120/125 SDK v1.0.3.0 “LIPS_Samples/Ni2FaceRecognition-gl/Source/main.cpp”


1. Face recognition - Connect to device and perform face recognition.


If you use LIPSFace SDK v1.0.3.0

unsigned short face_id = 0x0000;
devDevice.setProperty( LIPS_DEVICE_FACE_RECOGNITION, &face_id, sizeof( unsigned short ) );
unsigned short int result;
devDevice.getProperty( LIPS_DEVICE_FACE_RECOGNITION, &result );

If you use LIPSFace SDK v1.0.3.1 or later

devDevice.setProperty( LIPS_DEVICE_FACE_RECOGNITION, NULL, NULL );
unsigned short int result;
devDevice.getProperty( LIPS_DEVICE_FACE_RECOGNITION, &result );

2. Face registration - Enroll one face id for a new user


If you use LIPSFace SDK v1.0.3.0

unsigned short int face_id = 0x0000;
devDevice.setProperty( LIPS_DEVICE_FACE_REGISTRATION, &face_id, sizeof( unsigned short ) );
unsigned short int result;
devDevice.getProperty( LIPS_DEVICE_FACE_REGISTRATION, &result );

If you use v1.0.3.1 or later

devDevice.setProperty( LIPS_DEVICE_FACE_REGISTRATION, NULL, NULL );
unsigned short int result;
devDevice.getProperty( LIPS_DEVICE_FACE_REGISTRATION, &result );

3. Face Deletion - Delete a registered user's face id from the database on device

unsigned short face_id = 0xFFFF;
devDevice.setProperty( LIPS_DEVICE_FACE_DELETE_DATABASE, &face_id, sizeof( unsigned short ) );
unsigned short int result;
devDevice.getProperty( LIPS_DEVICE_FACE_DELETE_DATABASE, &result );

For more information regarding LIPSFace™ HW Series SDK, please visit LIPS Developer Documentation page for detail.

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