Springfield, OH, United States of America

Douglas J Spaur

This inventor holds 1 USPTO granted patent. Top assignee: Honda Motor Co., Ltd.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Douglas J Spaur. Retrieved from https://idiyas.com/inventor/douglas-j-spaur

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Douglas J Spaur: Innovator in Anomaly Detection Technology

Introduction

Douglas J Spaur is an accomplished inventor based in Springfield, OH (US). He has made significant contributions to the field of automation and machine learning. His innovative work focuses on detecting anomalous states in machines, which is crucial for maintaining operational efficiency and safety.

Latest Patents

Douglas J Spaur holds a patent for "Deep Automation Anomaly Detection." This patent describes a method performed by an anomaly detection server that enables the detection of an anomalous state in a monitored machine. The process involves receiving training analysis vectors during a training period and applying them to a machine learning model. This model is then used to identify discrepancies during a monitoring period, ultimately transmitting alerts when anomalies are detected. He has 1 patent to his name.

Career Highlights

Douglas is currently employed at Honda Motor Co., Ltd., where he applies his expertise in automation and machine learning. His work is instrumental in enhancing the reliability of machinery and improving overall operational performance.

Collaborations

Some of his notable coworkers include Richard Wolfgang Geary and Derrick Ian Cobb. Their collaborative efforts contribute to the innovative environment at Honda Motor Co., Ltd.

Conclusion

Douglas J Spaur's contributions to anomaly detection technology exemplify the importance of innovation in modern machinery. His work not only enhances operational efficiency but also sets a standard for future advancements in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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