IMAGE PROCESSING IN DIGITAL TWIN SOLUTIONS: A TECHNICAL OVERVIEW
Keywords:
Digital Twin Technology, Image Processing Integration, Real-time Monitoring Systems, Healthcare Predictive Analytics, Collaborative Data ArchitectureAbstract
This comprehensive technical article explores the intricate integration of image processing within Digital Twin solutions, highlighting the transformative impact on industrial operations across manufacturing, healthcare, and infrastructure sectors. It delves into the sophisticated frameworks that enable real-time monitoring, analysis, and maintenance of physical assets through their virtual counterparts. The article examines the multi-faceted architecture encompassing data acquisition, storage, processing pipelines, and advanced analytics while addressing security and collaboration in distributed environments. The article presents detailed analyses of implementation strategies, covering aspects from high-resolution image capture and cloud-based storage to predictive maintenance and visualization frameworks. Special attention is given to the role of emerging technologies such as edge computing, machine learning, and blockchain in enhancing system capabilities and security. The article demonstrates how these integrated systems significantly improve operational efficiency, quality control, and decision-making processes while reducing maintenance costs and downtime across various industrial applications.
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Copyright (c) 2025 Lalita Devi Pila (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
