Guest Editors
Prof. Seyed Jalaleddin Mousavirad, Mid Sweden University, Sweden
Prof. Irida Shallari, Mid Sweden University, Sweden
Prof. Mattias O'Nils, Mid Sweden University, Sweden
Summary
The advent of Industry 4.0 heralds a transformative era in the industrial landscape, characterized by the convergence of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. Among these, deep learning and computer vision have emerged as pivotal components, offering unprecedented capabilities in automation, quality control, and operational efficiency. These technologies, when integrated with other emerging innovations, are reshaping the way industries operate and compete globally.
This special issue aims to explore the impact of deep learning and computer vision within the context of Industry 4.0 and other emerging technologies. We will focus on the latest research, innovative applications, and future trends shaping this dynamic field. Key areas of focus will include, but not limited to:
Automated Quality Control: Leveraging deep learning for real-time inspection and quality assurance, minimizing human error, and ensuring consistent product standards.
Predictive Maintenance: Using computer vision to monitor equipment health and predict failures, thus reducing downtime and maintenance costs.
Robotic Automation: Enhancing industrial robots' capabilities with deep learning algorithms for tasks such as object recognition, sorting, and assembly.
Smart Manufacturing: Integrating AI and computer vision to create intelligent factories that autonomously adapt and optimize processes.
Augmented Reality (AR) and Virtual Reality (VR): Applying computer vision to AR/VR systems for immersive training, remote assistance, and complex assembly tasks.
Embedded Machine Learning: Implementing deep learning algorithms on embedded systems to enable real-time decision-making and analytics at the edge, enhancing efficiency and reducing latency.
Internet of Things (IoT): Combining deep learning and computer vision with IoT to enable intelligent, connected devices that enhance data collection, analysis, and decision-making processes in real-time.
Exploring the intersection of deep learning and computer vision with other emerging technologies such as 5G, blockchain, and quantum computing to push the boundaries of industrial innovation.
Keywords
Deep Learning, Computer Vision, Industry 4.0, IoT, Automation, Predictive Maintenance, Smart Manufacturing
Published Papers
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