San Francisco, CA, United States of America

Peter Lee Atkin


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 102(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Innovations by Inventor Peter Lee Atkin in Dynamic Manufacturing Solutions

Introduction: Peter Lee Atkin, based in San Francisco, CA, is a notable inventor recognized for his contributions to the field of manufacturing technologies. With a total of two patents, Atkin has developed sophisticated systems designed to enhance efficiency in manufacturing processes.

Latest Patents: Among his latest innovations is a patent for "Systems and methods for dynamic manufacturing line monitoring." This system receives operational data to determine crucial operations indicators. When an operator reports a downtime event through a human-machine interface device, the system captures this report along with uptime information. By calculating indicators such as overall equipment effectiveness, the system provides a user interface that displays these operations indicators coupled with visualizations. Notably, the system includes a timeline that tracks downtime events and other operational occurrences, dynamically updating indicators with real-time data.

Career Highlights: Peter Lee Atkin is affiliated with Samsara Inc., a company at the forefront of IoT solutions for fleet and operations management. His work is pivotal in advancing technologies that streamline manufacturing processes and optimize operational efficiency.

Collaborations: Throughout his career, Atkin has collaborated with esteemed coworkers, including Katherine Lee Heddleston and John Charles Bicket. These partnerships have fostered innovative solutions and advanced manufacturing methodologies.

Conclusion: Peter Lee Atkin's contributions through his patents in dynamic manufacturing line monitoring reflect his commitment to innovation in the manufacturing sector. As industries continue to evolve, his work stands to significantly influence efficiency and productivity in manufacturing environments.

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