Visual AI

Industry Leading AI with Diverse Usages

Finding Out Which Face Belongs to Whom

Face analysis is a field of detecting human faces from a visual input, extracting feature values, and recognizing who the subjects are. It is widely utilized in areas such as ID verification, access control, and AR face filters/stickers.

The Top-Tier in Global Facial
Recognition Technology

under 1 second

#1 In Accuracy and Speed among Korean Companies in NIST FRVT

As one of the top rankers for Face Recognition Vendor Test hosted by the National Institute of Standards and Technology, Alchera’s face recognition technology guarantees state-of-the-art accuracy and speed.

per day

The number of pictures processed every day for machine learning

Data specialists at Alchera’s Data Centers in Vietnam and Korea are producing high-quality image data for continuous improvement of the AI engine.

Million

The number of cameras to which Alchera’s technology is applied

Alchera’s technology has been acknowledged across a variety of different industries including access control, fintech, and more.

Achieving the Performance of
Human Eyes

Face Detection

Face detection is the first half of face recognition, and it consists of three consecutive steps, namely face detection, landmark detection, and face alignment. The process starts by locating where a face is or faces are in a visual input. Upon successfully detecting a face, the algorithm then goes on to extract landmark points that are to be used as it aligns and crops the image making it the right size so that it can be processed further.

Face Matching

Face matching is the latter half of face recognition, and made up of two consecutive steps including feature extraction and feature comparison. Upon receiving the aligned face image, the algorithm extracts a feature value by applying dozens of convolutional layers that gradually decrease the size of each component of a face. In the end, an nth dimension vector representing a unique face is created, and this information is then used for the verification of different people’s identity.

Face Anti-Spoofing

Face anti-spoofing is a function that detects whether the visual input received is from a real person physically present at the point of capture, and it runs not only on IR or 3D depth cameras, but also on RGB cameras. With a true positive rate as high as 99%, which then functions as a highly effective measure for preventing identity theft, Alchera’s anti-spoofing has been applied to a variety of industries where there is a need for such physical and/or digital security.

Mask Detection

Mask detection is a function that is used to check whether a detected face is properly wearing a facial mask. With an accuracy of 99.70%, Alchera’s mask detection technology can tell whether a person is wearing a facial mask properly or not even when the person is wearing the mask below one’s nose or chin.

Age, Gender, Emotion

Age, Gender, Emotion(AGE) is a function that estimates the age, gender, and emotion evident in a person from a detected face. The most common usage of AGE is the collection and utilization of customer data for market research and/or targeted advertisement in retail businesses.

Various Real-life Applications

ID verification for financial
services

ID verification for financial services

Face recognition is used when a customer’s facial feature is to be compared to that of a picture registered in the government’s ID database.

ID verification for financial services

Face recognition is used when a customer’s facial feature is to be compared to that of a picture registered in the government’s ID database.

Customer data collection for retail businesses

Customer data collection for retail businesses

Analysis of customer faccial attributes can provide useful insights to commercial businesses.

Customer data collection for retail businesses

Analysis of customer faccial attributes can provide useful insights to commercial businesses.

Access control for office buildings and construction sites

Access control for office buildings and construction sites

Face recognition is used to bar unauthorized individuals from entering certain areas.

Access control for office buildings and construction sites

Face recognition is used to bar unauthorized individuals from entering certain areas.

Face pay for retail businesses

Face pay for retail businesses

Customers can pay with their faces at retail stores.

Face pay for retail businesses

Customers can pay with their faces at retail stores.

VIP tracking for hotels, casinos, and hospitals

VIP tracking for hotels, casinos, and hospitals

Face recognition is used to track VIPs or patients so that they can be provided with a higher level of service.

VIP tracking for hotels, casinos, and hospitals

Face recognition is used to track VIPs or patients so that they can be provided with a higher level of service.

Mask detection for pandemic control

Mask detection for pandemic control

Mask detection can be used to identify visitors who are not properly wearing facial masks.

Mask detection for pandemic control

Mask detection can be used to identify visitors who are not properly wearing facial masks.

Applications of Face Analysis

AIIR ID

AI ID Verification Solution

AIIR Pass

Face Recognizing Access Control Solution

AIIR Scout

Intelligent Video Analytics Solution

AIIR SDK/API

A Complete Face Recognition Development Kit

Free Trial

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