Face Recognition SDK　JCV’s original Face Recognition Software Development Kit enables flexible integration with individual system to create unique face recognition product.

Face Recognition SDK　JCV’s original Face Recognition Software Development Kit enables flexible integration with individual system to create unique face recognition product.

Technology Highlights
Technology Highlights
Secure
Secure

Prevent unauthorized access by face recognition and prevent spoofing with integrated liveness detection

Accurate
Accurate

Accurately recognize individuals in still image or complex video scenes with many other faces

Convenient
Convenient

Increase the convenience of any application with face recognition

サービスの特徴
Key Features
Key Features
Function Description
Face Detection Detect facial image from video streams or still images.
Face Tracking Continuously track the location of facial landmarks of moving subjects in video streams.
Image Quality Check Pre check that photos are of sufficient quality for face recognition.

Liveness Detection
(anti-spoof attack)

Liveness Detection (anti-spoof attack)

 Quantify possibilities of hack by 2D photo, 3D masks, and etc. using either binocular or monocular cameras.
Feature Extraction Extract facial landmark points.
1:1 Face Verification Calculate similarity by comparing feature points from two faces.
1:N Face Search Calculate similarity by comparing feature points in database.
Face Mask Detection Detect the face wearing a mask.
Supported Platforms
Windows7 and later
Intel Linux Ubuntu 14.04 or
CentOS 7.0 and later
Arm Linux Ubuntu MATE 18.04 and later
iOS/iPadOS 13.0 and later
C++/Java
C++/Java
C++
Objective-C
Windows7 and later
C++/Java
Arm LinuxUbuntu MATE 18.04 and later
C++
Intel Linux Ubuntu 14.04 or CentOS 7.0 and later
C++/Java
iOS/iPadOS13.0 and later

Objective-C
Recognition Process
Recognition Process
Face Detection
Recognition Process

Detect and extract face from camera streams. Acquire optimal facial image through the image quality check tool.

Liveness Detection
Recognition Process

Conduct liveness detection to determine if the facial image is live or hack (2D photo, 3D mask, etc.)

Face Recognition (1:1 / 1:N)
Recognition Process

1:1 face verification between live image to a specific image in database.
1:N face search between live image and all images in database.

Use Cases
Use Cases
Use Cases

Reinforce identity confirmation at hotel / bank receptions

Use Cases

Smoothly access and securely store luggage at the lockers

Use Cases

Protect personal residential by face recognition lock