18601949127/DiDiCallCar

这是我自己做的一个类似滴滴打车的Android出行项目，主要针对滴滴等出行平台一直饱受质疑的“人车不符”问题，以及当前越发火热的或计划和出海战略，给出行项目增加了下面几个功能： 1. RFID识别验证功能：在司机证件或者车内识别硬件嵌入RFID识别芯片，乘客使用手机读取到芯片信息，并且通过网络发送到出行平台数据库进行验证（我用JNI加了一个C语言的MD5加密算法对识别到的信息进行了加密）。如果不是合规的“人”或“车”，则不能完成订单并向平台或监管单位汇报当前位置。（为了方便读者测试，可以使用手机读取任何一个加密或非加密RFID芯片，比如银行卡、公交卡等，我在代码中的验证前阶段把芯片信息都换成我自己的司机信息，确保读者测试时可以收到服务器的回复） 2. 海外版功能：点击切换当前语言。 3. 司机证件号码识别功能：读取司机证件上的证件号码，也可以用来与出行平台数据库的接单司机信息进行。I complete this whole project on my own . Including Android application programming，web server ( Apache + PHP + MySQL), and UI. 1．Map route planing。You can use mobile phone choose pick up & destination address，application provide address name hint and draw optimized route for user , then call car for you. 2．RFID authentication function：User can use application to scan driver license or other RFID hardware, then use NDK MD5 algorithm encrypt RFID number, and send it to Web Server Database, check with driver information and authenticate ID number , if ID number coherent with driver info , send back driver information to User and continue call car order . record user location and alert if ID not coherent. 3．Driver License Number Recognition : Application can recognize driver license digit number ,and also can send to web server for authentication & feed back result to user. observed · 2026-08-28

github.com/18601949127/DiDiCallCar · Java observed · 2026-08-28

Health v2 · maintenance only

32/100

Activity 0
Release rhythm 35
Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

gap_med: n/a
age_days: 2694
days_rel: n/a
days_push: 2498
n_releases_24m: 0

Full methodology

Adoption not part of the score

1164 stars · 385 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An Android ride-hailing demo app modeled on Didi, built end-to-end by one developer including the Apache+PHP+MySQL backend. It adds RFID/NFC-based driver identity verification, driver license number OCR, map route planning, and language switching to address the 'wrong driver or vehicle' safety problem.

Use cases

build a ride-hailing app like Didi or Uber on Android
verify a driver's identity with RFID/NFC before boarding
scan and recognize driver license numbers with OCR
plan routes and pick up destinations on a map
encrypt RFID chip data with NDK MD5 before server verification
add multi-language switching to a mobile app
study a full-stack Android + PHP + MySQL project

When to choose

learning how a ride-hailing Android app is structured end to end
prototyping NFC/RFID-based identity verification for passengers
needing a reference for OpenCV-based license number recognition on Android
exploring Baidu Maps LBS integration and route planning

When to avoid

production ride-hailing services - it is a demo with no license and MD5 is insecure
iOS or non-Android platforms
projects needing maintained dependencies or active support
real regulatory compliance for driver verification

Facets

application · maturity maintenance

mobile-framework ocr auth security machine-learning http-client routing mobile-development android-tools security computer-vision jvm php cpp ride-hailing rfid nfc didi-clone baidu-maps opencv ndk md5 driver-verification route-planning internationalization maps transportation android

1 source

readme: https://github.com/18601949127/DiDiCallCar · fetched 2026-08-28 · 27333c9325b9

Member repositories

Repository	Role	Health v2
18601949127/DiDiCallCar	main	32

For agents

markdown · JSON · MCP: product_card(name="18601949127/DiDiCallCar")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem