Printing and Packaging Defects and Anti-counterfeiting Detection and Event Driven Production Scheduling

SHI Pengtao; YU Zhaohui; WU Guoqi; LIU Shengzhen; LIANG Lijuan; LI Zehua; ZHANG Rui

doi:10.19554/j.cnki.1001-3563.2026.09.025

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (9) : 238-245. DOI: 10.19554/j.cnki.1001-3563.2026.09.025

Automatic and Intelligent Technology

Printing and Packaging Defects and Anti-counterfeiting Detection and Event Driven Production Scheduling

SHI Pengtao^1,2, YU Zhaohui^1,2,*, WU Guoqi^1,2, LIU Shengzhen^1,2, LIANG Lijuan^1,2, LI Zehua^1,2, ZHANG Rui^1,2

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Abstract

The work aims to solve the problem of difficulty in synchronizing online judgment of printing defects and anti-counterfeiting features in high-speed production of packaging materials, and the inability to drive production scheduling in a timely manner due to quality events, so as to provide an engineering solution for printing equipment that combines high-precision detection and real-time scheduling capabilities, and to improve production quality and delivery efficiency. A dual task parallel detection model was built based on the improved YOLOv5 framework. Through integrating the attention mechanism, the small object detection layer, and twin comparison, and integrating with event driven dynamic scheduling closed-loop, a millisecond level conversion channel from algorithm results to PLC execution instructions was constructed. The experimental results showed that the overall average accuracy (threshold range 0.50-0.95) was 0.694, and the average accuracy of small targets was 0.519; The detection rate at a false positive rate of 1% was 0.939, with a normalized cross-correlation mean of 0.868 and a spectral angle of 6.07 degrees; end to end latency of 9.9 milliseconds and frame rate of 100.8 frames per second; The average order delay was reduced to 1.73 hours, and the average downtime per shift was reduced to 17.9 minutes. In conclusion, the model achieves high-precision detection of printing defects and anti-counterfeiting features in parallel within the same frame. The event driven scheduling mechanism effectively solves the coordination problem between quality events and production scheduling. The research provides a practical engineering path and method basis for online quality control and anti-counterfeiting traceability of printing equipment.

Key words

printing defect detection / anti-counterfeiting identification / object detection / event driven scheduling / quality control

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SHI Pengtao, YU Zhaohui, WU Guoqi, LIU Shengzhen, LIANG Lijuan, LI Zehua, ZHANG Rui. Printing and Packaging Defects and Anti-counterfeiting Detection and Event Driven Production Scheduling[J]. Packaging Engineering. 2026, 47(9): 238-245 https://doi.org/10.19554/j.cnki.1001-3563.2026.09.025

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