Chip type: push type Pixel area: 160 x36 pixels Resolution: 508DPI Sampling accuracy: 10 bit Interface protocol: SPI FRR:
Fingerprint unlocking as padlock type Support OTA Support capacitive fingerprint collector Open waking-up via pull padlock Support LED function status indication Support fingerprint 500pcs above LED indicating Electricity Remind Bull-in 500mAH Lithium battery and can be used 1 year above Mainly apply to bank verification system Capacitance fingerprint collectorA288(208*288pixels) High quality, high security, high efficiency of autonomous recognition algorithm USB,UART and SPI three kinds of interfaces 0.001% FAR0.1% FRRLevel 3,up to Level 5 3000pcs Fingerprint Max. 10 millions cycles Wear to tear @ 0.6N,±15KV ESD-proof @ air discharge Support self-learning function,360 degrees casual press Support the human body induction waking-up Support Windows, Android 4.0 above version and SCM running Standard dimensions33.5*20.5MM
Product Name: PD202 American AuthenTec TCS1 fingerprint collector Conform to American FBI standard, mainly apply to ID verification Capacitance fingerprint collector(256*360 pixels) High quality, high security, high efficiency of autonomous recognition algorithm USB, UART and SPI three kinds of interfaces 0.001% FAR�0.1% FRR�Level 3, up to Level 5� 3000pcs Fingerprint Max. 10 millions cycles Wear to tear @ 0.6N,±15KV ESD-proof @ air discharge Support self-learning function,360 degrees casual press Support the human body induction waking-up Support Windows, Android 4.0 above version and SCM running Standard dimensions�33.5*20.5MM Product Name: PD302 American AuthenTec TCS2 fingerprint collector Mainly apply to bank verification system Capacitance fingerprint collector(208*288pixels) High quality, high security, high efficiency of autonomous recognition algorithm USB, UART and SPI three kinds of interfaces 0.001% FAR�0.1% FRR�Level 3, up to Level 5� 3000pcs Fingerprint Max. 10 millions cycles Wear to tear @ 0.6N,±15KV ESD-proof @ air discharge Support self-learning function,360 degrees casual press Support the human body induction waking-up Support Windows, Android 4.0 above version and SCM running Standard dimensions�33.5*20.5MM Product Name: PD006 Sweden FPC1020 fingerprint collector Capacitance fingerprint collector(192*192pixels) High quality, high security, high efficiency of autonomous recognition algorithm USB, UART and SPI three kinds of interfaces 0.001% FAR�0.1% FRR�Level 3� 3000pcs Fingerprint Max. 10 millions cycles Wear to tear @ 0.6N,±15KV ESD-proof @ air discharge Support self-learning function,360 degrees casual press Support the human body induction waking-up Support Windows, Android 4.0 above version and SCM running Standard dimensions�33.5*20.5MM Product Name: PD601 Capacitance fingerprint collector(192*192 pixels) High quality, high security, high efficiency of autonomous recognition algorithm USB, UART and SPI three kinds of interfaces 0.001% FAR�0.1% FRR�Level 3� 3000pcs Fingerprint Max. 10 millions cycles Wear to tear @ 0.6N,±15KV ESD-proof @ air discharge Support self-learning function,360 degrees casual press Support the human body induction waking-up Support Windows, Android 4.0 above version and SCM running Standard dimensions�33.5*20.5MM Product Name: PA00I Optical fingerprint collector (256*360 pixels) Infrared optics dark background collecting, anti-interference effect Resolving residual fingerprint is valid High quality, high security, high efficiency of autonomous recognition algorithm USB, UART and SPI three kinds of interfaces 0.001% FAR�0.1% FRR�Level 3� 3000pcs Fingerprint Max. 10Support self-learning Support the human body induction waking-up Support Windows, Android 4.0 above version and SCM running
Structure: Coating Package size: 10 thickness 0.65mm Induction type: capacitance principle press type Sensing area: 6.0*6.0 Cold screen unlock:
Structure: Coating Package size: 3.2-6.4mm T=0.65mm Induction type: Capacitive press type Sensing area: 3.6*3.2mm Cold screen unlock:
Chip type: push type Pixel area: 128 x72 pixels Resolution: 508DPI Sampling accuracy: 10 bit FRR:
Structure: Coating Package size: 12*10.6-14.3*12.8 thickness 0.65 Induction type: capacitance detection principle press type Sensing area: 9.6*9.6 Check screen to unlock:
Chip type: push type Pixel area: 160 x36 pixels Resolution: 508DPI Sampling accuracy: 10 bit Interface protocol: SPI FRR:
The Digimore FPM-5210F32 is high performance fingerprint module with wake up on finger function. It is one chip fingerprint module designed for integration into products with UART interface. The active area allows stable image and ability to cope with mass market applications in need of both security and convenience. The reader within the Holtek HT32F22366 device is high performance, low power consumption 32-bit microcontrollers based around an ARM Cortex-M3 processor core and the fingerprint algorithm is processed on it. SPECIFICATION * CPU : ARM Cortex M3 Core * Sensor : Optical sensor * Windows : 16.9 mm x 12.9 mm * Effective Area of the Sensor : 14 mm x 12.5 mm * Resolution / Image Size : 450 dpi / 258 x 202 Pixels * Number of Fingerprints : 200 fingerprints (3,000 fingerprints also available) * Algorithm Matching Mode : 1 : 1, 1 : N * Size of Template : 496 bytes (template) + 2 Bytes (checksum) * Interface : USB 2.0 full speed, UART (default baud rate=9600bps after power on) * FAR/ FRR : False Acceptance Rate (FAR) < 0.001%; False Rejection Rate (FRR) < 0.1% * Enrollment Time/ Identification Time :
CAMA-AFM31 is capacitive fingerprint module for secondary development. It can identify live fingers and refuse fake fingers, which belongs to higher security level comparing with optical ones. It features small size, low power consumption, simple ports, high reliability, small fingerprint template, large fingerprint capacity, etc. It is convenient to be embedded to user system for realizing clients required fingerprint verification products. Standard Package
CAMA-SM25 Optical fingerprint sensor module is an OEM fingerprint module sensor for secondary development which has integrated fingerprint sensor and processor chip together. It has features of small size, low power consumption, simple ports, high reliability, small fingerprint template (496bytes), large fingerprint capacity, etc. It is very easy to be embedded to biometric identification system for realizing customer's required fingerprint applications. CAMA-SM25 optical fingerprint sensor module has outstanding features like self-learning function. When the fingerprint verification processing, Fingerprint module sensor will update the newest fingerprint features to the fingerprint database automatically, so that the users will feel it obtain better and better fingerprint verification performance. Standard Package
Feature: 1.High adaptability to various difficulties fingerprint type: no matter they are dry fingers, wet fingers, shallow-texture fingers, rough fingers or others.The an-11r can identify accurately. 2.Strong/powerful function of anti-fake :the an-11r fingerprint reader have only sensor to human dermis, which can reject the artificial fingers. 3.Wide range: work well with dry, wet or rough fingerprints 4.Strong ability of anti-static, suitable for the easy-static dry environment Specification: Location of detecton:dermis Ability of identification: identify artificial fingerprint Frr0.01% Far0.0001% Identification speed:
Feature: 1.High adaptability to various difficulties fingerprint type: no matter they are dry fingers, wet fingers, shallow-texture fingers,rough fingers or others.The AN-11R can identify accurately. 2.Strong/Powerful function of Anti-fake :the AN-11R fingerprint reader have only sensor to human dermis,which can reject the artificial fingers. 3.Wide Range: Work well with dry,wet or rough fingerprints 4.Strong ability of Anti-static, suitable for the easy-static dry environment Specification: Location of detecton:Dermis Ability of identification: identify artificial fingerprint FRR0.01% FAR0.0001% Identification speed:
Features: 1.UART communication port 2.Semiconductor live fingerprint identification technology can prevent the fake fingerprints. 3. Optical total reflection fingerprint sensor 4.Achieving fingerprint enrollment and verification at the condition of minimum storage 5.1:N identification and 1:1 verify function. 6.Able to set Safe level, Baud Rate and equipment No. 7.Access to standby situation by instruction control module 8.Able to collect fingerprint and upload its features so as to achieve matching function with current fingerprint Specification: High strength anti-wear: tempered glass Anti-Static: 15KV Image crawl area:20*18mm(0.79*0.71inch) Fingerprint capacity:3000 templates, can expand to 8000 templates FAR:
Feature: 1.High adaptability to various difficulties fingerprint type: no matter they are dry fingers, wet fingers, shallow-texture fingers, rough fingers or others.The an-11s can identify accurately. 2.Strong/powerful function of anti-fake :the an-11s fingerprint reader have only sensor to human dermis, which can reject the artificial fingers. 3.Wide range: work well with dry, wet or rough fingerprints 4.Strong ability of anti-static, suitable for the easy-static dry environment Specification: Location of detection: dermis Ability of identification: identify artificial fingerprint Frr&0.01% Far&0.0001% Identification speed:
Sensing Area: 8*8 mm Sensor pixel size: 50*50 um Special resolution: 508 DPI ADC Pixel resolution: 8 bits(Gray scale) Sensor color: Matte Black Pencil hardness: 6 H(@500g) RCA Abrasion Wear: 200 cycle(@175g) Interface: USB/GPIO Interface type: 13pin,0.8mm pitch,ACF connector Supply voltage: 3.0-3.6 V FRR: 2% FAR: 1/10000
1, hardware configuration: QS808 fingerprint identification chip, TCS2 capacitive touch panel, blue light, USB interface. 2, the software configuration: embedded software 3, the use of the scene: office, government, customs, hospitals. 4 support Andrews system and Windows system.
The new fingerprint bag, simple and safe and effective protection of your travel safety. Fashion, to meet all the appearance you want.
1, the semiconductor fingerprint, to achieve a fingerprint built-in machine, fingerprint identification unlock read information. 2, hardware shell. 3, wireless network transmission 802.1.b / g / n, wireless way to connect mobile phones, PC, tablet and other equipment 4, application scenarios: office, conference, confidential file storage, data sharing. 5, compared to the existing market products, can also be connected online 5-8 people to share information
-QuadCore CPU -5" IPS Panel G+G TP -Andriod OS -TCS2 or TCS1 Finger printer Sensor -Battery 4000-10000 mAh -Built-in 3G NFC -BankCard Reader Optional -58mm Built-in Printer -1D 2D Barcode Scanner -ISO/ANSI SDK Supporting -FBI Standard
