2pcs Green Optical Light Optical Fingerprint Module for Arduino Mega2560 UNO R3 For Sale

2pcs Green Optical Light Optical Fingerprint Module for Arduino Mega2560 UNO R3


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2pcs Green Optical Light Optical Fingerprint Module for Arduino Mega2560 UNO R3:
$43

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Sign Up Now ! You may also like 2pcs Green Light Optical Fingerprint Reader Sensor Module for Arduino Mega2560 UNO R3 Product Description 2pcs Green Light Optical Fingerprint Reader Sensor Module for Arduino Mega2560 UNO R3
Note: If the code does not work , please change the arduino IDE to 1.6.6
Features:Make adding fingerprint detection and verification super simple.Typically used in safes­-there's a high powered DSP chip that does the image rendering, calculation, feature-finding and searching.Connect to any microcontroller or system with TTL serial, and send packets of data to take photos, detect prints, hash and search.You can also enroll new fingers directly - up to 162 finger prints can be stored in the onboard FLASH memory.There's a red LED in the lens that lights up during a photo so you know it is working. Specifications:Supply voltage: DC 3.8-7.0VOperating Current: <65mAPeak current: <95mAFingerprint image time: <1.0 secondsWindow area: 14.5*19.4 mmSignature File: 256 bytesTemplate files: 512 bytesStorage capacity: 1000False Accept Rate (FAR): <0.001% (security level 3)False Reject Rate (FRR): <1.0% (security level 3)Search time: <1.0 seconds (1: 500 average)PC interface: UART (TTL logic level)Baud rate (UART): (9600*N)bps (N=1~12, N default 6, equal 57600bps)Working environment: Temperature: -20 °C to 50 °CRelative Humidity: 40% RH to 85% RH (non-condensing)Storage Environment: Temperature: -40 °C to 85 °CRelative humidity: <85% H (no condensation)Lighting: Long light/FlashingDimensions (L* W* H): 56*20*20.5mm Note:There are basically two requirements for using the optical fingerprint sensor. First is you'll need to enroll fingerprints - that means assigning ID #'s to each print so you can query them later. Once you've enrolled all your prints, you can easily 'search' the sensor, asking it to identify which ID (if any) is currently being photographed.You can enroll by using the windows software (easiest and neat because it shows you the photograph of the print) or with the Arduino sketch (good for when you don't have a windows machine handy or for on-the-road enrolling) Connectionpin #2 is IN from sensor (GREEN wire)pin #3 is OUT from arduino (WHITE wire)5V connect sensor (Red wire)GND connect sensor (Black wire)
Package includes:2 x Fingerprint Recognition Module Payment Shipping Delivery time Return Policy Contact us Payment 1.We accept Paypal payment only , you can use credit card through PayPal.
2.Please make payment asap,then we can arrange shipment for you asap.
Shipping If total amount ≥ 7usd ,We Provide with a tracking number for you.
Delivery time In general ,it will takes 7-15 working days from China to USA by e-packet of China Post, 15-30 days to Europe, other countries for 30-45 days.

Return Policy 1.All our products are eligible for 30-days money back guarantee.2.All returns should be guided by us,please contact us for detail before you return anything.
Contact us We request that you contact us immediately BEFORE you give us neutral or negative response, so that we can satisfactorily address your concerns.
    2pcs Green Light Optical Fingerprint Reader Sensor Module for Arduino Mega2560 UNO R3 Note: If the code does not work , please change the arduino IDE to 1.6.6 Note: There are basically two requirements for using the optical fingerprint sensor. First is you'll need to enroll fingerprints - that means assigning ID #'s to each print so you can query them later. Once you've enrolled all your prints, you can easily 'search' the sensor, asking it to identify which ID (if any) is currently being photographed. You can enroll by using the windows software (easiest and neat because it shows you the photograph of the print) or with the Arduino sketch (good for when you don't have a windows machine handy or for on-the-road enrolling) Package includes: 2 x Fingerprint Recognition Module

    On Jul-12-18 at 09:37:15 PDT, seller added the following information:



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