{"title":"Design, Development, and Validation of a Portable and Low-Cost Visible and Near-Infrared Hyperspectral Imaging Module","authors":"A. Mukundan, Y. Tsao, Hsiang-Chen Wang","doi":"10.53375/icmame.2023.287","DOIUrl":null,"url":null,"abstract":"In this work, a mobile and relatively inexpensive housing device based on hyperspectral imaging (HSI) has been developed. In addition to a touchscreen, a light-emitting diode lighting system (LED) with a dimmer, a Raspberry Pi 4 central processing unit (CPU), and a Raspberry Pi camera were all included into the module. A visible HSI (VIS-HSI) method was developed that could create an HSI image from any RGB image taken by the Raspberry Pi camera. A near-infrared (NIR) camera and the NIR-HSI method, which was created to determine the spectral reflectance between the wavelengths of 780 and 2500 nm, may be used in lieu of the Raspberry Pi camera. The fact that this idea does not need the use of a second decoding key is among the most significant advantages it offers, along with its low cost, small size, lack of moving parts, and absence of any other prerequisites.","PeriodicalId":385901,"journal":{"name":"ICMAME 2023 Conference Proceedings","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICMAME 2023 Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53375/icmame.2023.287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, a mobile and relatively inexpensive housing device based on hyperspectral imaging (HSI) has been developed. In addition to a touchscreen, a light-emitting diode lighting system (LED) with a dimmer, a Raspberry Pi 4 central processing unit (CPU), and a Raspberry Pi camera were all included into the module. A visible HSI (VIS-HSI) method was developed that could create an HSI image from any RGB image taken by the Raspberry Pi camera. A near-infrared (NIR) camera and the NIR-HSI method, which was created to determine the spectral reflectance between the wavelengths of 780 and 2500 nm, may be used in lieu of the Raspberry Pi camera. The fact that this idea does not need the use of a second decoding key is among the most significant advantages it offers, along with its low cost, small size, lack of moving parts, and absence of any other prerequisites.