Grove - Capacitive Fingerprint Scanner/Sensor

FeaturesBuilt-in 2KByte storage: support up to 100 fingerprintsPowerful self-learning function: the more you use, the more accurate the recognitionSelectable security levelSmall size, low power consumption,10uA for standby modeDescriptionThe Grove - Capacitive Fingerprint Scanner / Sensor is based on the KCT203 Semiconductor fingerprint recognition module, including a high-performance MCU, a vertical RF push-type fingerprint sensor, and a touch sensing device. This module features many advantages such as small size, small fingerprint template, low power consumption, high reliability, fast fingerprint recognition, etc. In addition, it is worth mentioning that there is a lovely RGB light around this module to indicate whether the fingerprint recognition is successful.The system is equipped with a high-performance fingerprint algorithm, and the self-learning function is remarkable. After each successful fingerprint recognition, the latest challenge feature values can be integrated into the fingerprint database to continuously improve the fingerprint features, making the experience better.We add the power level shift circuit on the Grove Driver board so that this module can work with both 3.3V and 5V systems. And with the help of the Grove UART connector and the Arduino library we offered, you can build your own Arduino fingerprint sensor/scanner easily.We have already released the Grove optical fingerprint sensor, this time we bring you the Grove - Capacitive Fingerprint Scanner / Sensor. So whats the difference? Well, lets show you the merits and demerits of both sensors so that you can choose the best one to meet your needs.Grove - Capacitive Fingerprint Scanner / Sensor - 24.9$Advantage: Can identify biological characteristics, only identify living body, high safety, small size, low power consumption, high accuracyDisadvantage: Poor abrasion resistance, easily susceptible to sweat, stains, finger wear, etc.Grove - Optical Fingerprint Sensor - 49.9$Advantage: Strong abrasion resistance, good environmental adaptability, and good stabilityDisadvantage: Large size, high power consumption, and relatively low accuracy, cant identify the living body, low securityApplicationsFingerprint lock devices: door locks, safes, steering wheel locks, padlocks, gun locks, etc.Fingerprint sign-in, access control systemSpecificationsTechnical Details DescriptionCPU GD32Fingerprint Template Storage Max. 100Connector Grove UARTSensor Resolution 508 DPISensor Pixel 160*160False Rejection Rate <1%False Acceptance Rate <0.005%Match Response Time(1:N Mode) <350msMatch Response Time(1:1 Mode) <7msSensor Size ¦µ14.9mmFrame Size ¦µ 19mmPower Consumption Full speed: ¡Ü40 mA; Sleep: ¡Ü12uAOperating Voltage 3.3V / 5VOperating Temperature -20 ~ 70 ¡æESD Protection Non-contact 15KV, contact 8KVHardware OverviewPart ListKCT203 Semiconductor fingerprint recognition module x1Sensor cable x1Grove cable x1Grove driver board x1