Improved design of a laser scanning system for food analysis applications

W. Meulebroeck; P. Berghmans; H. Thienpont

doi:10.1117/12.779292

2 May 2008 Improved design of a laser scanning system for food analysis applications

W. Meulebroeck, P. Berghmans, H. Thienpont

Proceedings Volume 6991, Biophotonics: Photonic Solutions for Better Health Care; 69911B (2008) https://doi.org/10.1117/12.779292
Event: SPIE Photonics Europe, 2008, Strasbourg, France

Abstract

Scanning systems are used in many applications where on-line, high-speed analysis of products is needed. Because of the growing demand for healthy and high quality food products, these systems found their way in several food sensing applications. We will focus on an optical scanning system used for the identification and quality control of vegetables and fruits. It should be able to detect defects as small as 1.5 millimeter and should have a uniform sorting contrast over the entire length of the scanning line. Depending on the application, the analysis process is based on different interaction phenomena such as selective absorption or fluorescence. In this work we first analyzed which parts of the scanning system influence the size of the smallest detectable defect and how the system should be designed in order to fulfill a predefined size. This was done by experimentally analyzing a standard optical scanning system. The major part of our work concentrates on the uniformity of the sorting contrast which depends on the amount of light captured by the detector. We learned that for the standard scanning system this contrast strongly depends on the position of the product in the scanning line. In this paper we highlight the factors which are responsible for this effect and describe a new system characterized by a uniform sorting contrast. The simulations related to this last part were performed with the aid of the optical analysis software ASAP.

Citation Download Citation

W. Meulebroeck, P. Berghmans, and H. Thienpont "Improved design of a laser scanning system for food analysis applications", Proc. SPIE 6991, Biophotonics: Photonic Solutions for Better Health Care, 69911B (2 May 2008); https://doi.org/10.1117/12.779292

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