IMAGE ANALYSIS FOR FACE COUNTING AND MULTIPLE QR DECODING

Surangala Syam Peddi Suresh , Avvaru Susrutha , Padavala Raviteja , Dr.B.Chandrasekharam

Image analysis, Face counting, QR decoders, Computer vision, Real-time processing, Data fusion, System architecture

The paper describes a comprehensive work flow for the collection, processing, and analysis of picture data, with a focus on the correlation and combination of face-related and QR code data for informative analytics. Decision-making processes are facilitated and stakeholders are given actionable insights by the system's reporting and visualization capabilities. The report also emphasizes how crucial it is to incorporate backup plans, continuity management, and compliance with data protection laws into system architecture. Combining several QR decoders with image analysis methods for face counting offers a fresh method of handling data for a variety of uses. This research investigates the architecture, use, and effects of a complex system that integrates cutting-edge computer vision algorithms for QR code decoding, face identification, and recognition. Real-time processing of image data streams, pre processing modules for picture enhancement, CNN-based models for face detection, and effective algorithms like pyzbar and OpenCV for multi-QR code decoding are all included in the system design.

Published Paper   E-Certificate

"IMAGE ANALYSIS FOR FACE COUNTING AND MULTIPLE QR DECODING", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 3, page no.653 - 657, March-2024, Available :https://ijsdr.org/papers/IJSDR2403095.pdf

Volume 9 Issue 3, March-2024

Pages : 653 - 657

Paper Reg. ID: IJSDR_210480

Published Paper Id: IJSDR2403095

Downloads: 000347088

Research Area: Computer Science & Technology 

Country: tirupati, Andhra pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2403095

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2403095

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition