Liveness Detection

Anti-spoofing technology for photo and moving images is a kind of long cherished desire for face recognition field. Korea Identification Inc provides the liveness solution by mobile or some other devices to solve forged image problem of a certain photos, videos or sculptures . We have obtained a patent for the technology to prevent forged image essentially by using trigonometrical function method. By using this solution, the matching system can recognize to see if the image in front of the camera or smart phone is real or not. This solution could be widely used in a variety of areas, including finance, security, and adult authentication. If you use this service, you can be free from the Liveness patent dispute using your smart phone.

Face Detection Tracking

There have been various requests in many places the ability to detect and track the faces in crowd from CCTV imges since long ago.
To meet customers needs , the KI-FACE software which is own developed face image matching solution can provide superior image quality in any circumstance of everyday motion such as complex crowd, diverse environment by using self-developed image correction technology. You can have valuable experience of getting clear image in high definition, vivid images as well as low quality and blurred images. Please experience a good opportunity to get accurate and fast service through KI-FACE which supports diverse platforms and environments including CCTV, NVR, Video and pictures.

Face Landmarks

There are many different features in a person's face, and they move and change constantly and vary in brightness as light changes.
The KI FACE provides sophisticated and rapid detection of eye, nose, mouth, and face contours through unique algorithms even in dim images caused by varying facial expressions and light changes.

Face Authentication

This service is a face recognition - based user authentication solution using mobile devices such as smartphones. This service enables real - time authentication of live faces as well as user authentication through user registration. Mobile ID card authentication service is a authentication service that requires no prior registration as it compares high accuracy and low error rate to the user's face recognized on the mobile phone. Korean-style certification service can provide one-dimensional performance higher than its competitors by using technologies accumulated through photo recognition and analysis of various identification cards that have been provided to banks, securities companies and others. In addition, the company's patent for 'Liveness detection' has an anti-spoofing function, which is necessary for verifying forgery on smartphones, enabling mobile authentication services to be freely implemented in patent disputes.

Deep Learning Algorithm

The face recognition system by Deep Learning is using Deep Neural Network (DNN) that automatically extracts characteristics in the data without human help through sufficient human face picture data. Based on a pattern recognition technique called DNN, the algorithm modeled on the brain neural network of humans or animals has recently gained attention by multi dimensional method the Neural Network (NN). The Korea Identification Inc has developed a model by training with DNN and is committed to developing enhanced face recognition engines and improving performance using Deep Learning consistently.

AI

Artificial intelligence has been studied for a long time, but in recent years, there has been a great increase in interest in technology in this field, and the technology involved has also shown tremendous improvement. Accordingly, face recognition technology based on advanced technology of artificial intelligence is also expanding its activities. AI-based face recognition system is used to detect and analyze facial features on its own, and it is also used for crime investigation and missing child search since it enables searching of both designated individuals and one who appear in specific locations. In addition, data analysis is possible through the behavior patterns of shoppers and is used to improve marketing or service. AI-based Face recognition technology is becoming replaces fingerprint and iris recognition in biometrics. We are going to study by our technical man power and strives to expand service use in everyday life such as replacing identity cards and controlling access.