This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zebra Technologies Corporation. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovative Contributions of Daniel S. Gonzales
Introduction
Daniel S. Gonzales is an accomplished inventor based in Aurora, IL. He has made significant contributions to the field of machine vision technology. His work focuses on enhancing the capabilities of anomaly detection systems, which are crucial in various industrial applications.
Latest Patents
Gonzales holds a patent for "Systems and methods for precise anomaly localization within content captured by a machine vision camera." This innovative patent outlines a method that involves receiving an image from a machine vision camera, which includes a target object with localized anomalies. The method generates an anomaly heatmap using an unsupervised anomaly detection module and combines it with the original image to create a multi-channel image. A supervised segmentation module is then applied to identify the localized anomalies within the image.
Career Highlights
Daniel S. Gonzales is currently employed at Zebra Technologies Corporation, where he continues to develop cutting-edge solutions in machine vision. His expertise in anomaly detection has positioned him as a valuable asset to the company. Gonzales's work not only enhances the functionality of machine vision systems but also contributes to the overall efficiency of industrial processes.
Collaborations
Gonzales collaborates with his coworker, Yan Zhang, to further advance their projects at Zebra Technologies Corporation. Their combined efforts aim to push the boundaries of what is possible in machine vision technology.
Conclusion
Daniel S. Gonzales exemplifies the spirit of innovation in the field of machine vision. His patent and ongoing work at Zebra Technologies Corporation highlight his commitment to improving anomaly detection systems. His contributions are paving the way for more precise and efficient industrial applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
