Industrial Image

Industrial image analysis focuses on automating visual inspection and knowledge sharing within manufacturing settings, aiming to improve efficiency, quality control, and worker safety. Current research emphasizes the application of deep learning models, including anomaly detection algorithms (like those based on segmentation and boosted random forests) and large language models (LLMs) for tasks such as knowledge sharing and named entity recognition in tabular data. These advancements are driven by the need for robust, efficient, and privacy-preserving solutions for processing the vast amounts of visual data generated in industrial environments, impacting both productivity and worker well-being.