Bridging the Gap Between Academic Research and Industrial Application
Introduction
At the Connected Systems Institute (CSI), innovation isn’t just theoretical; it is tested, validated, and proven. Our White Paper Series represents the culmination of deep collaboration between CSI researchers, faculty, and our industry partners.
These documents go beyond standard case studies. They provide technical deep dives, data-driven analysis, and actionable roadmaps for implementing Industry 4.0 technologies. Whether exploring cloud architecture, digital twins, or AI-driven manufacturing, our white papers serve as a resource for organizations looking to modernize their operations.
Private 5G in Manufacturing
This use case highlights the modernization of a manufacturing line by migrating from a traditional network architecture to Private 5G. Marking the first deployment of its kind in North America, this project was executed in partnership with UScellular and Ericsson.
The migration was led by Connected Systems Institute students Asif Al Zubayer Swapnil and Shamar Webster, who successfully converted the network and demonstrated the solution at the ‘5G Day’ event hosted by UScellular and Ericsson.
Private 5G in Manufacturing – Connected Systems InstituteThe migration was led by Connected Systems Institute students Asif Al Zubayer Swapnil and Shamar Webster, who successfully converted the network and demonstrated the solution at the ‘5G Day’ event hosted by UScellular and Ericsson.
Computer Vision AI in Manufacturing
This project details the integration of AI computer vision into the Connected Systems Institute’s manufacturing line to enhance quality control. Utilizing an edge-based architecture, the solution enables real-time defect detection without cloud latency.
The deployment was executed by researchers Shamar Webster and Asif Al Zubayer Swapnil, with technical supervision and architectural guidance provided by Microsoft AI Expert Balamurugan Balakreshnan.
Computer Vision AI in Manufacturing – Connected Systems InstituteThe deployment was executed by researchers Shamar Webster and Asif Al Zubayer Swapnil, with technical supervision and architectural guidance provided by Microsoft AI Expert Balamurugan Balakreshnan.