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Ink Jet Coding Quality Inspection System Design Based on YOLOX and CRNN

Published: 19 April 2023 Publication History

Abstract

Typically, businesses that produce food use specialized inkjet printing equipment. Ink-jet printing machines frequently have flaws like missing codes, error codes, and shift codes because of mechanical or outside, uncontrollable factors. Manual detection is typically used in the traditional ink-jet code detection process, but this method is ineffective, labor-intensive for employees, and the detection accuracy depends too heavily on manual detection. This leads to the proposal of a character quality inspection algorithm based on YOLOX and CRNN. By changing the network structure, adding the CBAM attention mechanism, enhancing the loss function, and including a rotation mechanism, the character detection algorithm based on the YOLOX network is improved. The enhanced YOLOX network model has a precision increase of 2.59 over the basic model, a model size reduction of 12MB, with an accuracy rate of 99.59%. A final recognition rate of 97.8% is achieved for the character regions detected by the enhanced YOLOX and CRNN network model.

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RICAI '22: Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence
December 2022
1396 pages
ISBN:9781450398343
DOI:10.1145/3584376
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 April 2023

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