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A android app to scan NFC cards and record timing and calculate bill. Developed with a LOT AI code.

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⚠️⚠️⚠️ 注意:本项目(包括本文)使用了海量 AI 内容,欢迎您进行 fork 或修改继续改进,谢谢!

⚠️⚠️⚠️ Note: This project (including this README) makes extensive use of AI-generated content. You're welcome to fork it or build upon it. Thanks for your interest!

Misogintb - NFC 刷卡计时系统

NFC Timing System with Session Management


🧾 项目简介 | Project Overview

Misogintb 是一个适用于 Android 设备(最低支持 Android 5.0)的 NFC 刷卡计时系统。
支持多用户刷卡上下机,自动记录时长与费用,全屏显示实时信息。

Misogintb is an Android-based NFC timing system for devices running Android 5.0 and above.
It supports multi-user check-in/out via NFC, tracks session time & cost, and provides full-screen real-time display.


🚀 主要功能 | Key Features

  • 实时大字显示当前日期与时间(黑底白字)
  • 支持多种 NFC 标签:MifareClassic、FeliCa、IsoDep、NfcA、NfcB、NfcF、NfcV 等
  • 刷卡开始计时,再次刷卡结束计时
  • 自动计算使用时长与费用
  • 上下机均需确认(支持倒计时自动操作)
  • 支持最多 255 张不同 NFC 卡同时记录
  • 屏幕常亮、横屏显示、自动旋转支持

🛠️ 构建方法 | How to Build

环境要求 | Requirements

  • JDK: 11
  • Android Studio: 推荐 Arctic Fox (2020.3.1) 或更高版本
  • Android SDK:
    • compileSdk = 28
    • targetSdk = 28
    • minSdk = 21
  • Gradle: 7.5.1
  • AGP (Android Gradle Plugin): 7.0.4

编译步骤 | Build Steps

git clone https://github.com/yourusername/misogintb.git
cd misogintb
# 使用 Android Studio 打开该项目
# 点击 “Run” 或菜单栏中的 “Build > Make Project”

📂 项目结构 | Project Structure

misogintb/
├── app/
│   └── src/
│       └── main/
│           ├── java/                 Kotlin 源代码
│           ├── res/                  UI 资源与布局
│           └── AndroidManifest.xml   应用配置
├── build.gradle
├── settings.gradle
├── gradle/
│   └── wrapper/
├── gradlew / gradlew.bat
├── .gitignore
└── README.md

🙋‍♀️ 联系作者 | Contact

如有建议、问题或合作意向,请通过 GitHub Issues 联系。 For suggestions, issues, or collaboration, feel free to open a GitHub Issue.


❤️ 致谢 | Acknowledgments

感谢所有开源社区、Android NFC 开发者提供的资料与示例。 Thanks to the open-source community and Android NFC developers for documentation and sample code.

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A android app to scan NFC cards and record timing and calculate bill. Developed with a LOT AI code.

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