Designing Multispectral Camera Model using VIS-NIR for non-intrusive food quality assessment

9 pages•Published: July 19, 2023

Minh Chau Ta Ngoc, Anh Xuan Nguyen, Huu Tai Duong, My Ngoc Nguyen Thi, Quy Tan Ha, Nhat Nam Nguyen and Trung Nghia Tran

Abstract

One advantage of light-based technology is that it offers non-intrusive analysis. By comprehending how light interacts with food’s tissue and examining how it is absorbed and reflected. Multispectral Camera Model (MCM) can rapidly evaluate the food quality without physically destroying it. In this work, the capturing system model that is used to evaluate the quality of food is discussed. The Raspberry Pi 4 serves as the primary controller for the MCM, controlling the LEDs and camera. The MCM contains LEDs with four color modes with spectroscopy carried out in the VIS-NIR bands which are Red (620 – 625nm), Green (522 – 525nm), Blue (465 – 467nm) and Near-IR (peak wavelength in 940nm). One at a time, specific wavelength LEDs are individually illuminated, and for each flash, a sample is simultaneously taken with a Raspberry Camera. The result is that every image captured will be represented as a 3-dimensional data cube containing details of both spectral and spatial space.

Keyphrases: multispectral camera, multispectral imaging, raspberry pi 4, vis nir

In: Trung Nghia Tran, Quoc Khai Le, Tich Thien Truong, Thanh Nha Nguyen and Hoang Nhut Huynh (editors). Proceedings of International Symposium on Applied Science 2022, vol 5, pages 126-134.

Links:	https://easychair.org/publications/paper/64Mz
	https://doi.org/10.29007/8sqc

BibTeX entry

@inproceedings{ISAS2022:Designing_Multispectral_Camera_Model,
  author    = {Minh Chau Ta Ngoc and Anh Xuan Nguyen and Huu Tai Duong and My Ngoc Nguyen Thi and Quy Tan Ha and Nhat Nam Nguyen and Trung Nghia Tran},
  title     = {Designing Multispectral Camera Model using VIS-NIR for non-intrusive food quality assessment},
  booktitle = {Proceedings of International Symposium on Applied Science 2022},
  editor    = {Trung Nghia Tran and Quoc Khai Le and Tich Thien Truong and Thanh Nha Nguyen and Hoang Nhut Huynh},
  series    = {EPiC Series in Engineering},
  volume    = {5},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/64Mz},
  doi       = {10.29007/8sqc},
  pages     = {126-134},
  year      = {2023}}

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