Food producers must deal with contaminants (wood, plastic, glass) inside packaged products that could lead to customer dissatisfaction. The assessed technologies fail to detect some of these contaminants, leading to the need for new technologies with different signal qualities, such as microwave sensing. This paper presents a preliminary result of a microwave imaging system designed for industrial applications. The measurement system was designed for and works on an industrial conveyor belt where packaged products are scanned. The scanned signals are processed to obtain an accurate 3D image of the size and position of the contaminant inside the food package. In addition to the results, we describe the implemented system and some considerations on data acquisition.

Preliminary In-Line Microwave Imaging Experimental Assessment for Food Contamination Monitoring / Ricci, M.; Vasquez, J. A. T.; Scapaticci, R.; Turvani, G.; Casu, M. R.; Crocco, L.; Vipiana, F.. - ELETTRONICO. - (2023), pp. 1-3. (Intervento presentato al convegno 17th European Conference on Antennas and Propagation, EuCAP 2023 tenutosi a Florence, Italy nel 26-31 March 2023) [10.23919/EuCAP57121.2023.10133172].

Preliminary In-Line Microwave Imaging Experimental Assessment for Food Contamination Monitoring

Ricci M.;Turvani G.;Casu M. R.;Crocco L.;Vipiana F.
2023

Abstract

Food producers must deal with contaminants (wood, plastic, glass) inside packaged products that could lead to customer dissatisfaction. The assessed technologies fail to detect some of these contaminants, leading to the need for new technologies with different signal qualities, such as microwave sensing. This paper presents a preliminary result of a microwave imaging system designed for industrial applications. The measurement system was designed for and works on an industrial conveyor belt where packaged products are scanned. The scanned signals are processed to obtain an accurate 3D image of the size and position of the contaminant inside the food package. In addition to the results, we describe the implemented system and some considerations on data acquisition.
2023
978-1-6654-7541-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2982035