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1. HD Wide-Angle Camera, 1080P High Quality Video Record
2. Back-light Compensation, Wide Dynamic Range, White Blance
3. Support H.264 Output, Fisheye Correction
4. 3D Denoise/Facial Correction/Color Correction/Brightness Correction
5. Support Android System
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Product Introduction
Z10S ID Verification Terminal is an anti-counterfeiting camera which has functions like face recognition and liveness detection. Using the dual-camera to acquire the high precision face data with its innovative algorithm, some key feature points such as eye, ear and nose are accurately identified and located and also all kinds of feature information are calculated. This can avoid planar and blended photos and prevent some counterfeit frauds effectively such as using PS photos, or videos, etc. it can determine real people or not very accurately. So that It will leave the impostors or smugglers nowhere to hide.
Key Features
Face Recognition Equipped with HD camera, adopted technology like intelligent back-light compensation and facial contour edge enhancement, which can improve accuracy of face recognition, and it can also collect face pictures automatically.
Fingerprint Acquisition Built-in fingerprint acquisition module which meets standards of Ministry of Public Security.
ID Card Information Acquisition Built-in ID card reader newly launched by ministry of public security can read the character, face and fingerprint characteristics inside the ID card chip automatically.
Image Quality Assessment With functions like fingerprint and face pictures quality evaluation, detection and standardized cropping to ensure the reliability of data, and improve the accuracy of verification.
Intelligent Verification When capturing fingerprints and face pictures, the device with the intelligent voice prompt function can guide the verification procedure and ensure the accuracy of verification.
Infrared Liveness Detection Simultaneously acquire both near-infrared images and visible light images to determine weather it is real people or not.
Live Motion Detection Guide the customer to do some movements within specified time to determine weather it’s real people or not.
Still Liveness Detection After customers stay in the camera range only for a few seconds, the backstage can determine real people or not.
