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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49532
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â This project explores the practical applications of image processing using Python, focusing on real-time QR code detection and automatic link launching. Leveraging powerful libraries such as OpenCV and Pyzbar, the system captures live video feed from a webcam, processes each frame to detect and decode QR codes, and seamlessly opens embedded URLs in the default web browser. The implementation demonstrates how Pythonâs image processing capabilities can be utilized to create interactive and automated solutions, bridging the gap between digital data extraction and user experience. This study highlights the effectiveness of integrating computer vision techniques with Pythonâs simplicity to develop real-time applications in various domains such as marketing, inventory management, and mobile computing.
KEYWORDS
Publication Date
6/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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