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A Simple Microwave Imaging System for Food Product Inspection through a Symmetry-Based Microwave Imaging Approach.

Gennaro Bellizzi¹, Alessio Buzzin², Lorenzo Crocco³

¹Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.

Sensors (Basel, Switzerland)

|January 11, 2024

Summary

This summary is machine-generated.

This study introduces a cost-effective microwave imaging system for non-invasive food inspection. The system effectively detects small foreign bodies in various food products, offering a promising solution for inline quality control.

Keywords:

antipodal Vivaldi antenna food inspection microwave imaging non-invasive diagnostic

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Area of Science:

Food Science and Technology
Electromagnetics and Applied Physics
Non-invasive Sensing Technologies

Background:

Growing demand for cost-effective, non-invasive inline inspection methods in the food industry.
Need for technologies capable of detecting low-density foreign bodies in food products.
Limitations of existing inspection technologies for diverse food items.

Purpose of the Study:

To present a simple microwave imaging system for inline inspection of various food products.
To demonstrate the system's capability for non-invasively detecting small foreign bodies.
To validate the system's performance against design specifications and simulations.

Main Methods:

Development of a microwave imaging system using two circularly loaded antipodal Vivaldi antennas.
Utilizing a wide operative band (1-15 GHz) for adaptable spatial resolution.
Application of a real-time microwave imaging strategy exploiting food item symmetries.

Main Results:

Experimental characterization of the microwave imaging system.
Favorable comparison of achieved results with design specifications and numerical simulations.
Experimental proof of the system's effectiveness in detecting contaminants.

Conclusions:

The developed microwave imaging system is effective for inline food inspection.
The system demonstrates potential for detecting low-density contaminants in a wide range of food products.
The technology offers a viable, cost-effective alternative for food quality control.