Development of a multimodal sensing system for automated and intelligent food safety inspection

Jianwei Qin; Moon S. Kim; Jeehwa Hong; Hyunjeong Cho; Jo Ann S. Van Kessel; Insuck Baek; Kuanglin Chao

doi:10.1117/12.2663710

13 June 2023 Development of a multimodal sensing system for automated and intelligent food safety inspection

Jianwei Qin, Moon S. Kim, Jeehwa Hong, Hyunjeong Cho, Jo Ann S. Van Kessel, Insuck Baek, Kuanglin Chao

Proceedings Volume 12545, Sensing for Agriculture and Food Quality and Safety XV; 1254504 (2023) https://doi.org/10.1117/12.2663710
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

A multimodal sensing system was developed for automated and intelligent food safety inspection. The system uses two pairs of lasers and spectrometers at 785 and 1064 nm to realize dual-band Raman measurement. Automated sampling can be conducted using a XY moving stage for solid, powder, and liquid samples in customized well plates or randomly scattered in standard Petri dishes (e.g., bacterial colonies). Three LED lights (white backlight, UV ring light, and white ring light) and two color cameras are used for machine vision measurements of samples in the Petri dishes (e.g., transmission, fluorescence, and color). Real-time image processing and motion control techniques are used to fulfill automated sample counting, positioning, sampling, and synchronization functions. System software was developed with integrated AI functions able to identify and label interesting targets instantly. The system capability was demonstrated by an example application for rapid identification of five common foodborne bacteria. Using a machine learning model based on a linear support vector machine, a classification accuracy of 98.6% was achieved using Raman spectra collected from bacterial colonies grown on nutrient nonselective agar in Petri dishes. The system is compact and portable (30×45×35 cm³) that can be used for biological and chemical food safety inspection in regulatory and industrial applications.

Conference Presentation

Citation Download Citation

Jianwei Qin, Moon S. Kim, Jeehwa Hong, Hyunjeong Cho, Jo Ann S. Van Kessel, Insuck Baek, and Kuanglin Chao "Development of a multimodal sensing system for automated and intelligent food safety inspection", Proc. SPIE 12545, Sensing for Agriculture and Food Quality and Safety XV, 1254504 (13 June 2023); https://doi.org/10.1117/12.2663710

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