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May 6, 20260 citationsOpen Access

ChronoShelf: A Barcode and OCR Based Product Expiry Monitoring System

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DDDr. M. DeepaAGArchana GurusamyAVAnika V

Key Points

  • To develop a smart expiry monitoring system that helps reduce waste and improve safety for various products.
  • Developed a full-stack application using Node.js and Express for the backend, React for the frontend, and MongoDB for the database.
  • Employed barcode scanning and Optical Character Recognition for identifying products and extracting expiry information.
  • Included features such as user login, manual item addition, and notification systems for product expirations.
  • Showed potential reduction in product waste through improved expiry tracking.
  • Enhanced inventory management by automating alerts for near-expiry products.
  • Provided users with insights on spending, losses, and savings through personalized dashboards.

Abstract

ChronoShelf is a smart expiry management system developed to help users monitor product expiry dates, reduce waste, and improve safety. The platform combines barcode scanning, Optical Character Recognition (OCR), and Artificial Intelligence to identify products, extract expiry information, and notify users before products expire. The system is designed for packaged food items, medicines, cosmetics, and retail products. Users can securely log in, add items manually or through scanning, view expiry summaries, and receive suggestions for using products that are close to expiration. The application uses a full-stack architecture with a React frontend, Node.js and Express backend, and MongoDB database. Barcode scanning is performed using Quagga2 and native BarcodeDetector APIs, while expiry labels are detected through OCR using Tesseract.js. The platform also provides personalized dashboards showing spending, losses, savings, and expiry trends. By automating expiry tracking, ChronoShelf reduces manual effort, prevents accidental use of expired products, and supports smarter inventory management across households, supermarkets, pharmacies, and warehouses.

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Cite This Study

Deepa et al. (2026) studied this question.

synapsesocial.com/papers/69fa8eac04f884e66b530f2fhttps://doi.org/10.5281/zenodo.20018962
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