The new fingerprint bag, simple and safe and effective protection of your travel safety. Fashion, to meet all the appearance you want.
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
-Optical fingerprint collector(256*360pixel)
-Infrared optical 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
-Capacitance fingerprint collector(256*360pixels)
-High quality,high security,high efficiency of autonomous recognition algorit
-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
-Capacitance fingerprint collector(152*200pixels)
-High quality,high security,high efficiency of autonomous recognition algorit
-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
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
HYF/Herofun PD601
-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
HYF/Herofun PD706
-Capacitance fingerprint collector(152*200pixels)
-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
HYF/herofun PDAOA
-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)
-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
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.
