OPTICAL FINGERPRINT SENSING MODULE
Technology for installing a fingerprint sensor in the form of a camera module
- What is optical fingerprint sensing technology?
- A technology for installing a fingerprint sensor in the form of a camera module
- Strengths of optical fingerprint sensing
- Secures visibility by installing as an in-display type
- ecures intuitive usability (directly touch fingerprint on the OLED panel)
- Higher sensor resolution compared to capacitive method: 750 Dpi
- Module has no direct contact with the panel, resulting in no impact on OLED yield
BIOMETRIC FINGERPRINT
- What is optical fingerprint sensing technology?
- A technology that acquires a digital fingerprint image with
a dedicated sensor and recognizes the user
- Divided into capacitive, optical, and ultrasonic methods
- Strengths of BIOMETRIC FINGERPRINT
- Fast recognition speed | high recognition rate,
low error rate within 0.002% (FAR)
- Easily miniaturized, enabling use in various applications
- BFM VARIOUS APPLICATION
- MOBILE & PC(SMARTPHONE / PC / LAP-TOP) I AUTOMOTIVE I SECURITY DEVICES (SMART CARD / PRIVATE DEVICE / DOOR LOOK / USB)
MCNEX STRONG POINT
- Development capability
-
Engineers with ample experience
SW F/U
-
Outstanding H/W development
capability
Quick response and development
of customer model
- Outstanding device development capability
- Production environment
- Construction of clean room environment (1,000 CLASS CLEAN ROOM)
- Automation technology
(PKG ASSEMBLY Process automation)
- Mass production capabilities
- Production technology
-
Special coating technology (non-spray coating method)
Low loop control responsive wire bonding technology
-
Specialized PKG construction method used for fingerprint sensors
High-grade PKG form processing and PKG internalization
FACIAL RECOGNITION SYSTEM
- Facial Recognition Module
- A facial recognition system is an application that can automatically identify a person within a digital image from a camera.
- The section of a live image that is thought to be a face is extracted and compared with a facial image database.
- 3D facial recognition can identify facial characteristics more accurately than 2D facial recognition, so it increases precision.
- It can also cope with difficulties such as differences in lighting, differences in facial expression, presence/absence of cosmetics, and differences in the direction of hair, which are problematic in 2D facial recognition algorithms.
IRIS CAMERA MODULE
- Product Characteristics
- An optimized solution that can be used with any eyes
- Uses 810 nm wavelength range Band pass filter and IR-LED
- Can drive VT / IRIS Camera using switching function
- High recognition rate regardless of brightness of in/outdoor light
- High level of security and high recognition rate
- Forgery/Falsification through photos or videos impossible
- Low error rate
- Nearly impossible to find iris patterns with identical code
- Iris pattern does not change after early childhood
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