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Smartphone video imaging: A versatile, low-cost technology for food authentication
Weiran Song1, Hui Wang2, Yong-Huan Yun3
1School of Food Science and Engineering, Hainan University, Haikou, 570228, China; State Key Laboratory of Power System Operation and Control, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China.
Food Chemistry
|August 30, 2024
Summary
A new smartphone video imaging (SVI) technique uses AI for versatile food authentication. This low-cost method achieves hyperspectral imaging (HSI) capabilities, outperforming traditional methods for sample classification and purity mapping.
Area of Science:
- Analytical Chemistry
- Computer Vision
- Food Science
Background:
- Traditional analytical techniques for food authentication can be expensive and complex.
- There is a need for accessible, low-cost imaging solutions for on-site food analysis.
- Artificial intelligence (AI) offers potential for enhancing imaging capabilities.
Purpose of the Study:
- To introduce and validate smartphone video imaging (SVI) as a low-cost, versatile imaging technique.
- To explore AI-assisted capabilities of SVI, including hyperspectral imaging (HSI).
- To assess SVI's performance in food authentication applications, such as sample classification and purity mapping.
Main Methods:
- Developed a smartphone video imaging (SVI) technique using a color-changing screen for sample illumination.
- Integrated AI, specifically residual neural networks and U-Net deep learning modules, with SVI.
- Applied SVI to ginseng classification and saffron purity mapping in powder mixtures.
Main Results:
- SVI enabled classification of heterogeneous samples and spatial representation of analyte content.
- AI-assisted SVI achieved hyperspectral imaging (HSI) capabilities, reconstructing images from videos.
- SVI demonstrated superior performance over traditional computer vision for ginseng classification.
- SVI accurately mapped saffron purity with predictive performance comparable to HSI.
- SVI combined with U-Net produced high-quality images resembling HSI targets.
Conclusions:
- Smartphone video imaging (SVI) is a versatile, low-cost imaging technique.
- AI integration significantly enhances SVI's capabilities for advanced analysis.
- SVI shows promise as a consumer-oriented solution for effective food authentication.
