Open Access

REVIEW

Applications of AI and Blockchain in Origin Traceability and Forensics: A Review of ICs, Pharmaceuticals, EVs, UAVs, and Robotics

Hsiao-Chun Han¹, Der-Chen Huang^1,*, Chin-Ling Chen^2,*

1 Department of Computer Science and Engineering, National Chung Hsing University, Taichung City, 40227, Taiwan
2 Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung City, 41349, Taiwan

* Corresponding Authors: Der-Chen Huang. Email: ; Chin-Ling Chen. Email:

(This article belongs to the Special Issue: Key Technologies and Applications of Blockchain Technology in Supply Chain Intelligence and Trust Establishment)

Computer Modeling in Engineering & Sciences 2025, 145(1), 67-126. https://doi.org/10.32604/cmes.2025.070944

Received 28 July 2025; Accepted 25 September 2025; Issue published 30 October 2025

Abstract

This study presents a systematic review of applications of artificial intelligence (abbreviated as AI) and blockchain in supply chain provenance traceability and legal forensics cover five sectors: integrated circuits (abbreviated as ICs), pharmaceuticals, electric vehicles (abbreviated as EVs), drones (abbreviated as UAVs), and robotics—in response to rising trade tensions and geopolitical conflicts, which have heightened concerns over product origin fraud and information security. While previous literature often focuses on single-industry contexts or isolated technologies, this review comprehensively surveys these sectors and categorizes 116 peer-reviewed studies by application domain, technical architecture, and functional objective. Special attention is given to traceability control mechanisms, data integrity, and the use of forensic technologies to detect origin fraud. The study further evaluates real-world implementations, including blockchain-enabled drug tracking systems, EV battery raw material traceability, and UAV authentication frameworks, demonstrating the practical value of these technologies. By identifying technological challenges and policy implications, this research provides a comprehensive foundation for future academic inquiry, industrial adoption, and regulatory development aimed at enhancing transparency, resilience, and trust in global supply chains.

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Keywords

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