Application of Computer Vision Technology in Online Label Inspection Systems
Qin Yang
Source record
Source: Crossref
Published: May 6, 2025
DOI: 10.20944/preprints202505.0223.v1
Open original source ↗Source abstract
The rapid development of computer vision technology has created new opportunities for industrial automation inspection systems, with online label inspection systems playing a crucial role in intelligent manufacturing. This paper focuses on the core principles of computer vision technology and analyzes its practical applications and technical implementation in label inspection. Through research on key technologies such as image preprocessing, object detection algorithms, and optical character recognition (OCR), the study proposes a high-precision, real-time system architecture for online label inspection. Performance and reliability were validated through applications in typical industrial scenarios. Results show that computer vision-based label inspection systems significantly enhance detection efficiency and accuracy while reducing the need for manual intervention, providing strong technical support for industrial intelligence. Finally, this paper discusses current technical challenges and future development directions, aiming to further advance the application of computer vision technology in industrial inspection.
Evidence graph
No public relationships recorded yet.
Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.