Guest Editors
Dr. Yulia Kumar
Email: ykumar@kean.edu
Affiliation: Department of Computer Science and Technology, Kean University, Union NJ, 07083, USA
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Research Interests: multimodal machine learning, NLP, large language models, AI agents
Dr. Kuan Huang
Email: khuang@kean.edu
Affiliation: Department of Computer Science and Technology, Kean University, Union NJ, 07083, USA
Homepage:
Research Interests: artificial intelligence, computer vision, machine learning, pattern recognition
Dr. Hemn Abdalla
Email: habdalla@kean.edu
Affiliation: College of Science and Technology, Wenzhou-Kean University, Wenzhou 325015, China
Homepage:
Research Interests: big Data, e-health, e-commerce
Summary
The fusion of real-time video analytics and advanced artificial intelligence is accelerating innovation in smart systems, intelligent manufacturing, and industrial automation. State-of-the-art methods such as object detection, skeletonization, and motion prediction from video streams enable automated process monitoring, adaptive control, and data-driven decision-making in smart environments and industrial workflows.
These capabilities are transforming how intelligent systems are designed, analysed, and optimized—driving breakthroughs in automation, quality assurance, and human-machine collaboration. This Special Issue highlights the latest developments in algorithms, systems, and applications that connect computer vision, multimedia analytics, and AI to smart manufacturing, robotics, and real-time decision systems.
We invite original research, reviews, and case studies that illustrate how video-driven approaches are empowering data-rich modelling, real-time feedback, and intelligent control strategies in diverse industrial and smart system contexts.
Suggested Themes
- Real-time video analytics for autonomous system monitoring and control
- Object detection and tracking in industrial and robotic environments
- Skeletonization and human-robot collaboration in laboratory automation and smart factories
- AI-based motion prediction for adaptive process control in manufacturing and logistics
- Deep learning and big data analytics for system optimization and predictive control
- Video-driven quality inspection, defect detection, and predictive maintenance
- Integration of video analytics with IoT, cyber-physical systems, and smart platforms
Keywords
real-time video analytics, smart manufacturing, object detection, motion prediction, skeletonization, human-robot interaction, multimodal AI systems, industrial AI
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