Ayonix FaceID SDK

Our main concern on a product is that it must be fast, accurate and cost-effective
Overview
Our cross-platform, CPU-independent offline Ayonix FaceID-SDK detects multiple faces, tracks multiple people, extracts gender, age, expression of people, recognizes faces by comparing with a user pre-enrolled database.

Our SDK detects masked faces, sunglasses, normal glasses, analyzes people from 0 years to 99 years in high accuracy.

Most of our competitors require massive servers and an active internet connection for mobile use. The Ayonix FaceID SDK runs on a local PC. There is no cloud computation. Everything is kept on a local computer. It runs multiple algorithms for detecting faces and face local points such as eyes, nose, mouth, face boundaries. The most valuable 50 face points are extracted from a face image and our 3D algorithm generates 3D face image and modifies the face to have the most appropriate face for the face matching. This is done within few milliseconds so that Realtime face recognition with 3D rotation works in embedded platforms or low spec computers.

Our SDK matches 1 million faces under 1 second. This is at least 10 times faster than our US, Japan, Chinese and Russian competitors. We don’t need GPU computers to run Face recognition. We offer our face recognition product that is affordable for all our customers.

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Accuracy

20% better

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ms
Speed

70X faster

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Error (EER)

10% better

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byte
Template Size

20X compact

FaceID Features

● Easy development

● Simplified API sets

● Examples, sample codes, use scenarios

● Rest-API format along with wrappers to other languages

● Flexible coding design

● Demo application with its full project source codes

● Integration option to many applications

● No external dependencies

● Clean and documented SDK commands

● Extremely low resource usage

● Various app design from mobile to server applications

WHO Needs SDK

Software companies

Software companies which need to develop their own face recognition products need SDK. Companies can integrate it into their existing products as well.

System integrators

Integrators can integrate the Face recognition as a part of their own system or infrastructure. Integrators can seamlessly develop and integrate it into any system they want.

Platform
OS Android, IOS, Windows, Linux, RASPI-OS
CPU Intel, ARM, AMD
Wrappers Java, HTML, C#
License Online and offline (dongle)
What is Given Inside SDK
Face detection Mask detection
Face tracker Sunglasses/Eyeglasses detection
Verification Gender/Age analysis
Identification Liveness detection
Landmark detection Emotion analysis
Pose estimation Face quality metric