Integrated Jewelry Store Management System with Computer Vision-Based Size Prediction
DOI:
https://doi.org/10.30871/jaic.v10i2.12370Keywords:
Computer Vision, E-commerce System, Inventory Management, Jewelry Retail, Size PredictionAbstract
Online jewelry retail suffers from high return rates driven by size mismatch, particularly for rings and bracelets. Existing solutions address either body measurement or retail management independently, leaving a gap in integrated systems tailored to small jewelry retailers. This paper presents an integrated jewelry store management system combining computer vision-based size prediction with mobile e-commerce and point-of-sale (POS) functionality. The system employs a hybrid approach integrating machine learning-based hand pose detection via Apple's Vision framework with rule-based geometric measurement, using credit card dimensions for pixel-to-millimeter calibration. All hand image processing executes on-device, preserving user privacy. A dual-application architecture provides a customer-facing iOS app for product browsing and size prediction, and a staff-facing iPad POS app for inventory and order management, connected through a cloud backend with real-time synchronization. Evaluation with 20 participants (ages 15–75) across varied lighting conditions and background surfaces demonstrated ring sizing mean absolute error of 0.81 mm within one standard ring size interval, achieving 90% accuracy within ±0.5 size tolerance and 70% exact size match rate. Bracelet sizing achieved mean absolute error of 2.8 mm with 90% acceptable recommendations through a three-tier fit system. Comparative analysis shows the system achieves accuracy approaching physical ring gauges while requiring only a smartphone and credit card. Functional testing with 7 participants yielded 100% task completion across 12 test scenarios with real-time inventory synchronization verified. The results demonstrate that practical jewelry sizing is achievable through smartphone computer vision, providing an accessible digital transformation solution for small and medium jewelry enterprises.
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