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지문인식 FPCB - 그리고

리지드 플렉스 PCB/

지문인식 FPCB

모델 : Fingerprint identification FPCB

재료 : PI

층 : 2레이어

색상 : 노란색/흰색

완성된 두께 : 0.15mm

구리 두께 : 0.5온스

표면 처리 : 이머젼 골드

애플리케이션 : Fingerprint identification FPC

  • 제품 세부정보

Introduction to Flexible PCB

Flexible PCB is a kind of printed circuit board which is made of polyimide or polyester film. It has high reliability and excellent flexibility. Referred to as soft board or FPC, 밀도가 높다는 특징이 있습니다, 가벼운 무게, and thin thickness.

Characteristics of FPCB

두께

The thickness of FPC must be more flexible and thinner.

Folding Resistance

Bending is the inherent characteristic of FPC. The future FPC must have stronger bending resistance, which must exceed 10,000 타임스. This requires better substrate.

Price

이 단계에서, the price of FPC is much higher than that of Rigid PCB. If the price of FPC comes down, the market will certainly be much broader.

Process Level

In order to meet the requirements of many aspects, the process of FPC must be upgraded. The minimum aperture, minimum linewidth / wire spacing must meet higher requirements.

Fingerprint Identification FPC

Fingerprint Module Overview

Fingerprint module is the core component of fingerprint lock, which is installed on devices such as fingerprint access control, hard disk, mobile phone, 등. It is used to complete fingerprint collection and fingerprint identification. Fingerprint module is mainly composed of fingerprint acquisition module, fingerprint identification module, and extended function module (such as lock driving module). FPC fingerprint module is an important part of it.

Classification of FPCB Fingerprint Module

The FPCB fingerprint module can be divided into three parts according to its fingerprint identification methods:

  1. Optical Fingerprint Module
    • Can identify fingerprint by refraction and reflection of light.
  2. Capacitance Fingerprint Module
    • Collects the fingerprint by the value change of capacitance.
  3. RF Fingerprint Module (Scratch Fingerprint Module)
    • Uses a small amount of RF signal to detect the texture.

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