Read Mifare Classic card using NFC-PCSC library - NodeJS & Socket IO

Vlladie Condeno — Tue, 13 Sep 2022 03:49:11 +0000

OBJECTIVE

Apply the tap and go so that the user doesn't need to interact with the person in charge on the station.

The challenge is to get the value stored in the smartcard and pass the data to the front end and then the front end will request the full information from the server.

The image below will be the setup.

Tools

I tried searching for a library that I can use to help me read the the smartcard sector using NodeJS. the client is using a MIFARE Classic card and I found this library pokusew/nfc-pcsc which uses a javascript/NodeJS language.

The nfc-pcsc have it's own example for mifare-classic, the only needs to do is to apply the socketIO.

Implementation

This is the structure. The NodeJS App needs to be in the same station where the smartcard reader is connected.
The client card contains a unique data as an identifier

Process:

Front end will establish a websocket to the NodeJS App
NodeJS App will start listening to any card that been tap.
If NodeJS Receive a card tapped, it will start reading the card Sector 2, after that, NodeJS App will emit to the front end what's the information it gets from the card.
If Front end get the data, it will send the data it gets to the backend to fetch the full information.

You can check the whole code in my GitHub repo below.
https://github.com/VLDCNDN/smartcard-reader

VLDCNDN / smartcard-reader

read smartcard Mifare Classic using NodeJS and SocketIO

Requirements

nodeJS 8 above

For other Requirements please refer here nfc-pcsc installation

Installation

Run npm install

View on GitHub

Create API Using AWS Rekognition to return detected faces in uploaded image - Nodejs & React

Vlladie Condeno — Thu, 18 Aug 2022 18:23:09 +0000

Objective: user can upload image and it will return the list of detected faces.

You can visit the repo here and fork it and try it yourself!
or you can follow the instruction below

1. Clone the repo by running in your cmd


$ git clone https://github.com/VLDCNDN/face-rekognition-app.git
$ cd face-rekognition-app
$ npm install

2. Copy `.env.copy` file then paste it in the same level of the copied file, rename the file into `.env`

3. Open `.env` file and make sure that the 2 value exist

Make sure that you already configure the AWS Credential ENV because the app will not run without it

Now you can run it's `API`

Here's the URL for the API

# REQUEST
POST /api/detect-faces
body {
   "image": "base64 image"
}

# RESPONSE FORMAT
{
  "data" : [
     "base64 image",
     ...
   ]
}

If you want to use the front end

within the same repo, run

cd client && npm install

now try running

npm start

make sure that you're under client folder

now you can see this (localhost:3000)

If you only want the backend, you can just delete the client folder

NOTE: Make sure that your nodejs/express is running in port of 3001 since the proxy set in reactjs is 3001 for backend, just change the reactjs proxy url if you wanted the backend running different port

DEV Community: Vlladie Condeno