Develop Your face recognition Application With Our Tools.
id3 Face SDK is a cross-platform library aimed at system integrators willing to quickly add face recognition technology including face detection, tracking, analysis, liveness check and recognition capabilities to their products. It is available as a Software Development Kit (SDK) offering a comprehensive interface to simplify integration of the library on servers, desktops/laptops, mobile and edge devices.
Features included
Face Capture
Compatible with a wide range of cameras from leading manufacturers, ensuring versatile and comprehensive biometric data acquisition.
Face tracking
Provides precise and accurate face detection, capable of real-time processing and continuous monitoring with robust performance even under challenging conditions.
Facial Analysis
Offers multiple face analysis functionalities, including landmarks estimation, pose estimation, mask detection, and ICAO-compliant facial attributes determination.
Liveness Checks
Utilizes accurate passive and active liveness detection methods to protect against biometric fraud, such as presentation attacks using photos or videos.
Feature Extraction
Extracts facial features from detected faces, producing a compact face template for efficient face matching.
Face Recognition
Ensures accurate identification by matching detected faces against a database with ultra-fast performance in both one-to-one and one-to-many search modes.
Specifications
Optimized AI models.
Execution on mobile platform devices.
The models we develop in our face recognition sdk are optimized to reduce library size and improve execution speed on small embedded targets. The templates generated by our extraction algorithms are among the smallest on the market (less than 148 bytes) and the matching algorithm also requires very low resources.
9 ms
Iphone 12
68 ms
Google Pixel 6
203 ms
Fetian FP20
Versatile Programming Interface.
Comprehensive API Across Multiple Languages.
The id3 Face SDK provides a versatile programming interface, offering a simple yet comprehensive API that supports a wide range of programming languages. This includes popular languages such as C, C++, C#, Dart, Java, Kotlin, Python, and Swift, enabling developers to integrate biometric functionalities seamlessly into diverse applications and platforms.
Cross-Platform Compatibility.
Support Across Major Operating Systems.
The id3 Face SDK is designed for cross-platform compatibility, supporting Windows, Linux, macOS, Android, and iOS operating systems. This ensures that developers can deploy biometric solutions across different environments with ease, providing flexibility and scalability for diverse deployment scenarios.
High precision algortihms
large-scale identification systems
The face identification process is nearly instantaneous. It has the capability to compare millions of faces in less than one second on a single processing unit. False non match rate (FNMR) is the proportion of mated comparisons below a threshold set to achieve the false match rate (FMR) specified. FMR is the proportion of impostor comparisons at or above that threshold. Since FMR and FNMR is in inverse proportion to each other, choosing the operational threshold is a trade-off between system security and user convenience.
0.000001
FMR
0.5 %
FNMR
45 ms
Matching
*Performances obtained on NVIDIA GTX 1080 Ti
Reliable technology proven in a world-renowned NIST evaluation.
id3 Technologies face recognition algorithm has proven excellent tradeoff between accuracy, speed and template size in the NIST ongoing Face Recognition Technology Evaluation (FRTE). The FRTE was initiated by the National Institute of Standards and Technologies (NIST) in February 2017. It is designed to measure the performance of automated face recognition technologies applied to a wide range of civil, law enforcement and homeland security applications including verification of visa images, de-duplication of passports, recognition across photojournalism images, and identification of child exploitation victims.
Developer documentation.
We provide comprehensive documentation and developer guides to facilitate a smooth implementation process of our Face sdk.
