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Informative Article | Information Technology | India | Volume 10 Issue 2, February 2021 | Rating: 5 / 10
Streamlining Artwork Production with Computer Vision Technology
Abstract: In the field of digital content creation, the swift generation of artworks is crucial to meet the demands of contemporary industries. Utilizing advanced technologies such as computer vision, deep learning, and image processing, this research investigates innovative methods to streamline the artwork generation process. By integrating Python, OpenCV, YOLOv5, and LabelImg, our study concentrates on the automated detection and analysis of logos within artworks, enabling effective monitoring of logo placement, frequency, and variations. Additionally, we explore the domain of pharmaceutical packaging, where computer vision techniques are used to identify and verify medicine names printed on cartons. Moreover, we introduce an innovative approach to image search engines, transforming visual queries into relevant image results through advanced feature extraction and comparison techniques. By merging these various applications of computer vision technology, our research not only speeds up artwork generation but also extends the capabilities of image analysis and retrieval systems, paving the way for enhanced efficiency and accuracy in multiple industrial domains.
Keywords: digital content creation, computer vision, deep learning, image processing, automated detection
Edition: Volume 10 Issue 2, February 2021,
Pages: 1757 - 1761