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This is a Literature Review study.

Integrating Artificial Intelligence for Quality Control in Packaging and Labeling

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AI-driven methodologies improve defect detection and labeling accuracy in packaging processes, suggesting greater efficiency.

Integrating artificial intelligence enhances quality control in packaging, leading to improved accuracy and speed.
Key applications include defect detection along the production line and automatic verification of labels for compliance.
Assessment of current methods reveals significant challenges in scaling traditional quality control processes.
AI adoption may reduce costs and strengthen consumer confidence in product safety and quality.

Yevheniia Kovalchuk (2025) studied this question.

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