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Related Experiment Video

Updated: May 31, 2026

Development of a Lateral Flow Immunochromatographic Strip for Rapid and Quantitative Detection of Small Molecule Compounds

Development of a Lateral Flow Immunochromatographic Strip for Rapid and Quantitative Detection of Small Molecule Compounds

Published on: November 13, 2021

On-site strip-type drug test kit enhanced by AI-based image analysis.

Sora An¹, Joong Lee², Sangki Lee¹

¹Department of Forensic Science, Sungkyunkwan University, Suwon 16419, the Republic of Korea.

Science & Justice : Journal of the Forensic Science Society

|May 29, 2026

Summary

This summary is machine-generated.

A new artificial intelligence (AI) image analysis method significantly improves the accuracy of strip-type drug test kits. This AI approach enhances reliability in field drug detection, outperforming human analysis.

Keywords:

AI-based precision Artificial Intelligence (AI)Deep-learning models Image analysis Strip-type drug test kit

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Last Updated: May 31, 2026

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Area of Science:

Forensic Science
Analytical Chemistry
Artificial Intelligence

Background:

Increasing demand for rapid, precise field drug detection due to beverage tampering incidents.
Existing strip-type drug tests rely on subjective visual interpretation, leading to variability.
Need for objective, quantitative methods to improve drug test kit reliability.

Purpose of the Study:

To develop and validate a user-friendly, portable strip-type drug test kit.
To implement an AI-based image analysis method for objective result interpretation.
To enhance the automation and reliability of field drug detection.

Main Methods:

Development of a novel strip-type drug test kit minimizing hazardous reagents and waste.
Utilized artificial intelligence (AI) image analysis techniques for quantitative evaluation.
Trained and evaluated deep-learning models (CNN, ViT, CNN-GRU) on 7,295 kit images.

Main Results:

The CNN-GRU model demonstrated superior performance in accuracy, precision, recall, F1-score, and Cohen's kappa (1.0000).
AI algorithm achieved perfect accuracy, exceeding the performance of 32 police officers.
Validated AI-based precision reading algorithms for strip-type drug test kits.

Conclusions:

AI-based precision reading algorithms significantly enhance automation and reliability of strip-type drug test kits.
The developed method offers a reliable solution for field drug detection in forensic and investigative settings.
This technology has strong potential for improving accuracy and reducing errors in drug testing.