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Smartphone imaging spectrometer for egg/meat freshness monitoring
Tianci Wang1, Fuzhou Shen1, Hancheng Deng1
1Mechanical and Electrical Engineering College, School of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, Hainan University, Haikou 570228, China. caifuhong@hainanu.edu.cn.
Abstract:
Data transmission between spectroscopy equipment and mobile terminals is critical to realising hand-held field-level monitoring. Currently, on-the-go (OTG) communication technology is a convenient and efficient method of data transmission for mobile devices. However, few people associate spectroscopy equipment with smartphones through the OTG port. This study developed a portable imaging spectrometer with a spectral resolution of approximately 12 nm in the visible-near-infrared band (400-1000 nm). It can be connected to a smartphone through the USB-OTG port to process the spectral signal through the smartphone's system on a chip (SoC). It also displays real-time spectral images of the food samples through the smartphone's screen. Using a support vector machine (SVM) to classify the spectra of the various experimental samples (e.g. eggs and pork), the model prediction accuracy rate is approximately 90%. This further proves the reliability of the proposed smartphone imaging spectrometer for monitoring the freshness of food samples onsite.

