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Fake Products Detection Using Machine Learning

  • Unique Paper ID: 180477
  • Volume: 12
  • Issue: 1
  • PageNo: 1670-1673
  • Abstract:
  • The proliferation of counterfeit products and fraudulent branding presents significant challenges for consumers and businesses alike. The Fake Product & Fake Logo Identification System aims to address these challenges by leveraging advanced machine learning and computer vision techniques to accurately identify counterfeit items and logos. This system employs a combination of image recognition, pattern analysis, and AI-driven algorithms to detect discrepancies between genuine and fake products by analyzing subtle differences in logos, packaging, and design elements. By utilizing a comprehensive database of authentic product images and logos, the system compares and flags anomalies indicative of counterfeiting. The goal is to provide a reliable, scalable, and user-friendly solution that empowers consumers and businesses to combat the adverse effects of counterfeit products, enhancing trust and safety in the marketplace.
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  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 1
  • PageNo: 1670-1673

Fake Products Detection Using Machine Learning

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8.01 (Year 2024)
UGC Approved
Journal no 47859

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