INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
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.
Keywords:
Image analysis, Face counting, QR decoders, Computer vision, Real-time processing, Data fusion, System architecture
Cite Article:
"IMAGE ANALYSIS FOR FACE COUNTING AND MULTIPLE QR DECODING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 3, page no.653 - 657, March-2024, Available :http://www.ijsdr.org/papers/IJSDR2403095.pdf
Downloads:
000337364
Publication Details:
Published Paper ID: IJSDR2403095
Registration ID:210480
Published In: Volume 9 Issue 3, March-2024
DOI (Digital Object Identifier):
Page No: 653 - 657
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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