AIoT-Based Meat Quality Monitoring Using Camera and Gas Sensor With Wireless Charging
Objective
To evaluate meat freshness using gas sensors and cameras. Wireless charging powers real-time AI-based analysis.
Abstract
This project presents an IoT-based meat quality monitoring system using Raspberry Pi, a web camera, gas sensors, and a DHT11 sensor. The system evaluates meat freshness by detecting spoilage gases and monitoring temperature and humidity conditions. Camera-based monitoring and sensor data are processed together to assess meat quality in real time. The system also includes wireless charging using a transmission coil to power the sensors and battery. It provides a low-cost and efficient solution for continuous meat freshness monitoring and food safety assurance.
Keywords: IoT, Meat Quality Monitoring, Raspberry Pi, Gas Sensor, DHT11, Wireless Charging.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Specifications
Hardware components:
- Raspberry pi
- Memory card
- USB web camera
- Buzzer
- ADC MCP 3008
- Gas Sensor
- DHT11 Sensor
- LCD
- Connectors-10
Software requirements:
- Raspbian os
- Python
Paper Publishing
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