Secure your life and society with your face, the most reliable security measure.
Face Recognition AI for Accurate identity verification
ALCHERA’s face recognition AI technology extracts features from images to deliver fast and accurate identity verification.Experience business success with trusted real-time face spoofing detection technology.
#1 in Korea, Top-Tier Global Face Recognition
99.99%
Recognition in Under 1 sec.
Ranked #1 in Korea for accuracy and speed in NIST FRVT, the world's largest facial recognition test
ALCHERA’s technology showcases exceptional performance and reliablility.
20,000
Daily average
Training data generated at ALCHERA data centers daily
Data centers in Korea and Vietnam continuously produce high-quality training data, enhancing the performance of AI engines.
350
Million+ Cameras
The number of cameras equipped with ALCHERA technology to date
Recognized across various fields, including access security and fintech.
Key Technologies in Face Recognition
Face Detection
Face detection is the first step in the face recognition process, consisting of three steps: face detection, landmark detection, and face alignment. When an image is input, the AI identifies the face area.Landmark points are then extracted to rotate and align the image for further processing in Face Matching.
Face Matching
Face matching is the next step, involving feature extraction and comparison. Aligned face images are processed through multiple convolutional layers, converting them into unique N-dimensional vectors.These vectors allow identity verification through accurate comparison.
Face Anti-Spoofing
Face Anti-Spoofing ensures that the input face image originates from a real person present at the time of capture. This technology works with IR, 3D Depth, and RGB cameras.Proven in numerous applications, ALCHERA’s Anti-Spoofing technology boasts a 99% True Positive Rate, effectively preventing fraud, such as identity theft.
Age, Gender, Emotion (AGE)
The Age, Gender, and Emotion (AGE) feature estimates the subject’s age, gender, and emotional state.This capability supports services like customer demographic analysis and personalized recommendations in offline retail environments.
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