Non-intrusive food and drug monitoring system: A Survey

PhD Qualifying Examination


Title: "Non-intrusive food and drug monitoring system: A Survey"

by

Miss Shanwen CHEN


Abstract:

Non-intrusive food and drug monitoring systems are becoming increasingly 
essential for consumers, healthcare providers, and regulatory authorities. 
For food, monitoring focuses on assessing properties such as nutritional 
content, flavor, and spoilage, while for drugs, it plays a critical role in 
verifying composition and detecting adulteration. However, traditional 
methods for precise sensing, such as liquid chromatography, are often 
destructive or require expensive equipment like hyperspectrometers, limiting 
their accessibility.

Recent advancements in non-intrusive sensing technologies, such as 
spectroscopy, imaging, and wearable sensors, have demonstrated significant 
potential for real-time and accessible monitoring in both food and 
pharmaceutical domains. Despite this progress, non-intrusive methods still 
face challenges related to sensitivity, robustness, and generalizability. 
Achieving fine-grained sensing performance with non-invasive devices 
requires well-designed signal processing algorithms, deep learning models, 
and tailored training schemes for specific modalities and applications.

In this survey, we review the state-of-the-art non-intrusive monitoring 
systems for food and drugs, highlighting key sensing mechanisms and 
technologies, such as multispectral imaging and near-infrared spectroscopy. 
We then explore recent applications in food and drug sensing and introduce 
our two research efforts on food safety using nonintrusive spectroscopy 
devices. Finally, we discuss potential future research directions and 
conclude this survey.


Date:                   Monday, 10 February 2025

Time:                   3:00pm - 5:00pm

Venue:                  Room 3520
                        Lifts 25/26

Committee Members:      Prof. Qian Zhang (Supervisor)
                        Prof. Song Guo (Chairperson)
                        Dr. Xiaojuan Ma
                        Dr. Xiaomin Ouyang