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Food Spoilage Detection & Expiration Tracking System

  • Unique Paper ID: 175062
  • Volume: 11
  • Issue: 11
  • PageNo: 1608-1612
  • Abstract:
  • Food spoilage and contamination pose serious risks to households and the food industry, leading to health hazards, financial losses, and increased waste. This project introduces a food spoilage and expiration tracking system that detects spoilage early and provides real-time alerts. Using IoT, machine learning, and computer vision, the system monitors food quality based on gas emissions, temperature, humidity, and visual indicators. It integrates MQ-135 and DHT11 sensors with an ESP-32 camera module to collect data, which is analysed using a YOLOv8 model for visual inspection. A user-friendly mobile and web application allows users to track freshness, receive alerts, and access recipe suggestions to minimise waste. Designed for seamless integration with smart home devices, this cost-effective and scalable solution enhances food safety. By leveraging advanced technology, the system aims to reduce food loss, improve consumer awareness, and promote sustainable food management.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 1608-1612

Food Spoilage Detection & Expiration Tracking System

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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