Fingerprint processing includes two parts: fingerprint enrollment and fingerprint matching (the matching can be 1:1 or 1:N). When enrolling, user needs to enter the finger two times. The …

2024年6月26日 · R503指纹识别模块用户手册. 杭州城章科技有限公司. 2023年6月Ver1.4版本修订. 版本号修改日期修改内容修改人1.02019.7创建城章科技1.12020.91修改0x35灯控指令,增加0x0A上传模板,增加0x0B下载模板,城章科技1.22021.91针对RGB版本,灯光颜色由三色,增加为七色,指令式向下兼容,针对RGB版本,增加0x31自动注册模板,上位 ...

2022年8月20日 · The R502/R503 is the most popular and low-cost Capacitive Fingerprint Sensor available on the market. The chip is designed by integrating image collecting and algorithm chips together. The best part about R502/R503 is that it flexibly adapts to the conditions of the fingers, whether it is dry fingers, wet, light texture, or old fingers with a ...

Connect one of these boards to a R503 Fingerprint capacitive sensor and you can send commands via MQTT protocol to an IoT hub. This project is made with Home Assistant integration in mind, but it can be used to only interact with any MQTT broker (see below for some HA integration examples).

An ESP32 compatible library (Arduino SDK) for the R503 capacitive fingerprint sensor from Hangzhou Grow Technology. ⚠ NOTE: This is a work in progress, some things may not work as expected.

-2- www.hzgrow.com II HardwareInterface ExteriorInterface Connector:MX1.0--6P Thread:M25 Productexternaldiameter:28mm Innerdiameter:25mm Height:19mm

R503图像大小192*192，分辨率达508 DPI，可存储200个指纹，FRR≤0.01%，FAR≤0.00001%，支持Arduino、Android、Windows、Linux等。 R503支持低功耗手指检测，工作电压3.3V，采集电流不超过18mA，平均待机电流仅2uA。

2023年12月26日 · GM78 全局多码识读模块，一款性能优良的扫描引擎，不仅能够轻松读取各类一维条码，而且可以高速读取二维条码，对线性条形码具有非常高的扫描速率，针对纸质条码及显示屏上的条码，也都能轻松扫描；GM78 条码识读模块是在图像智能识别算法及在此基础上开发出先进的条码解码算法，可以非常容易且准确地识读条码符号，极大的简化了条码识读产品的开发难度。 GM78 是建立在符合最苛刻的扫描要求，提供在完全黑暗的环境，以及过大的温度范围内 …

R503 Fingerprint Reader documentation. Contribute to microrobotics/MRX-R503 development by creating an account on GitHub.

2022年2月17日 · R502/R503 are best capacitive fingerprint sensor which can be easily interfaced with arduino. R503/R502 Fingerprint sensor module captures, stores and matches the user’s fingerprint .