ICMAME 2023 Conference Proceedings
Paper No: 287
Paper Title: Design, Development, and Validation of a Portable and Low-Cost Visible and Near-Infrared Hyperspectral Imaging Module
Paper Title: Design, Development, and Validation of a Portable and Low-Cost Visible and Near-Infrared Hyperspectral Imaging Module
AUTHORS:
Arvind Mukundan Department of Mechanical Engineering, Advanced Institute of Manufacturing with High tech Innovations (AIM-HI) and Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan
Yu-Ming Tsao Department of Mechanical Engineering, Advanced Institute of Manufacturing with High tech Innovations (AIM-HI) and Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan
Hsiang-Chen Wang Department of Mechanical Engineering, Advanced Institute of Manufacturing with High tech Innovations (AIM-HI) and Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan
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.
Keywords: Proportional Integral Derivative (PID), Swarm Intelligence (SI), Renewable Energy (RE), Statistical Analysis
Conference Venue: Mövenpick Hotel & Apartments Bur Dubai, Dubai-UAE
Conference Date: 29-30 April 2023
ISBN Number: 978-625-00-1526-1
DOI Number: https://doi.org/10.53375/icmame.2023.287
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Arvind Mukundan Department of Mechanical Engineering, Advanced Institute of Manufacturing with High tech Innovations (AIM-HI) and Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan
Yu-Ming Tsao Department of Mechanical Engineering, Advanced Institute of Manufacturing with High tech Innovations (AIM-HI) and Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan
Hsiang-Chen Wang Department of Mechanical Engineering, Advanced Institute of Manufacturing with High tech Innovations (AIM-HI) and Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan
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.
Keywords: Proportional Integral Derivative (PID), Swarm Intelligence (SI), Renewable Energy (RE), Statistical Analysis
Conference Venue: Mövenpick Hotel & Apartments Bur Dubai, Dubai-UAE
Conference Date: 29-30 April 2023
ISBN Number: 978-625-00-1526-1
DOI Number: https://doi.org/10.53375/icmame.2023.287
PDF Download