San Antonio, TX, United States of America

Scott Paimer

This inventor holds 1 USPTO granted patent. Top assignee: Injury Sciences LLC. Active years: 2011.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Scott Paimer. Retrieved from https://idiyas.com/inventor/scott-paimer

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 = 2.0

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2011

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Scott Paimer - Innovator in Vehicular Accident Analysis

Introduction

Scott Paimer is an accomplished inventor based in San Antonio, TX (US). He has made significant contributions to the field of vehicular accident analysis through his innovative patent. His work focuses on utilizing black box data to enhance the understanding of vehicular accidents.

Latest Patents

Scott Paimer holds a patent titled "Methods and apparatus for using black box data to analyze vehicular accidents." This patent discloses methods and apparatus for obtaining information from an event data recorder associated with a vehicle. The data obtained is used to determine and analyze vehicular accidents. Key attributes analyzed include impact severity, change in velocity, and other desired parameters. Additionally, the patent outlines methods for securely communicating the downloaded black box information to a secure location for later analysis and processing. He has 1 patent to his name.

Career Highlights

Scott Paimer is associated with Injury Sciences LLC, where he applies his expertise in accident analysis. His work at the company emphasizes the importance of data-driven insights in understanding vehicular incidents.

Collaborations

Scott collaborates with Darrin A Smith, contributing to the advancement of methodologies in accident analysis.

Conclusion

Scott Paimer's innovative approach to analyzing vehicular accidents through black box data represents a significant advancement in the field. His contributions are vital for improving safety and understanding in vehicular incidents.

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]
Loading…