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논문 기본 정보

자료유형
학술저널
저자정보
Zhonghua Li (Hebei North University) Xinghua Sun (Hebei North University) Ting Yan (Hebei North University) Dong Yang (Hebei North University) Guiliang Feng (Hebei North University)
저널정보
한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제19권 제2호
발행연도
2023.4
수록면
139 - 148 (10page)
DOI
10.3745/JIPS.04.0267

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초록· 키워드

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Current food-traceability platforms suffer from problems such as inconsistent traceability standards, a lack ofpublic credibility, and slow access to data. In this work, a combined code and identification method wasdesigned that can achieve more secure product traceability using the dual anti-counterfeiting technology of aQR code and a hidden code. When the QR code is blurry, the hidden code can still be used to effectively identifyfood information. Based on this combined code, a food-safety traceability platform was developed. Theplatform follows unified encoding standards and provides standardized interfaces. Based on this innovation,the platform not only can serve individual food-traceability systems development, but also connect existingtraceability systems. These will help to solve the problems such as non-standard traceability content,inconsistent processes, and incompatible system software. The experimental results show that the combinedcode has higher accuracy. The food-safety traceability platform based on the combined code improves thesafety of the traceability process and the integrity of the traceability information. The innovation of this paperis invoking the combined code united the QR code‘s rapidity and the hidden code‘s reliability, developing aplatform that uses a unified coding standard and provides a standardized interface to resolve the differencesbetween multi-food-traceability systems. Among similar systems, it is the only one that has been connected tothe national QR code identification platform. The project has made profits and has significant economic andsocial benefits.

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