To build a barcode scanner, you can either create a hardware-based scanner using a camera and microcontroller or a software-based scanner using a computer or mobile app. Below is a simple guide to building a software barcode scanner using Python, which is great for desktop use.
Build a Barcode Scanner in Python
✅ Requirements
You’ll need the following:
-
Python 3.x
-
opencv-python
(for capturing video) -
pyzbar
(for decoding barcodes) -
A webcam (external or laptop integrated)
✅ Installation
Open your terminal or command prompt and install dependencies:
On some systems, you might also need:
✅ Python Code for Barcode Scanner
How It Works
-
Captures video from the webcam using OpenCV.
-
Scans each frame for barcodes using
pyzbar
. -
Draws bounding boxes and displays the decoded content on the screen.
-
Exits the scanner when you press the “q” key.
Barcode Formats Supported
The pyzbar
library supports multiple types:
-
EAN-13
-
UPC-A
-
Code 128
-
QR Codes
-
Code 39
-
Interleaved 2 of 5
Enhancements You Can Add
-
Export scanned data to a CSV file
-
Add sound on successful scan
-
Support for multiple barcode entries
-
GUI using Tkinter or PyQt
-
Mobile version using Kivy or React Native with a camera module
Notes
-
Ensure good lighting for accurate scanning.
-
Some barcodes may be damaged or unclear, requiring better quality input.
-
If building for mobile, consider native SDKs like Google ML Kit or Zxing.
Let me know if you want to build a hardware scanner with Arduino or Raspberry Pi.
Leave a Reply