Mikica Cvijetinovic

Title: Mikica Cvijetinovic: Innovator in Automated Production Processes

Introduction

Mikica Cvijetinovic is a notable inventor based in North Royalton, Ohio, with a remarkable portfolio of seven patents. His work primarily focuses on enhancing automated production processes through innovative systems and methods.

Latest Patents

Among his latest patents is a system for defect detection during an automated production process. This invention describes systems and methods aimed at improving defect detection. The system includes a memory that stores executable components and a processor that executes these components. The automation defect component retrieves parametric data associated with the production process and provides it to a machine learning algorithm. The machine learning component generates common attributes between defective items and identifies a set of shared attributes with non-defective items. It modifies these attributes to generate defect indicators, which the automation defect component uses to monitor subsequent parametric data. Another significant patent is a system for detecting data drift in machine-learning process monitoring. This monitor provides real-time monitoring of input values to a signature analyzer with a machine-learning engine. It compares statistics of the input values to those used in the training set, indicating whether retraining is necessary without needing to analyze the output of the machine-learning engine.

Career Highlights

Mikica Cvijetinovic is currently employed at Rockwell Automation Technologies Incorporated, where he applies his expertise in automation and machine learning. His contributions have significantly advanced the field of automated production processes.

Collaborations

He collaborates with talented coworkers, including Gregory J. Vance and Francisco Paul Maturana, who contribute to the innovative environment at Rockwell Automation.

Conclusion

Mikica Cvijetinovic's work exemplifies the intersection of automation and machine learning, showcasing his commitment to improving production processes. His patents reflect a deep understanding of technology and its application in real-world scenarios.