Company Filing History:
Years Active: 1999-2015
Title: The Innovations of James M Urnes, Sr.
Introduction
James M Urnes, Sr. is a notable inventor based in Bridgeton, MO (US), recognized for his contributions to technology and engineering. He holds a total of 4 patents, showcasing his innovative spirit and technical expertise. His work primarily focuses on structural anomaly detection and unmanned aerial vehicle (UAV) systems.
Latest Patents
One of his latest patents is titled "Method for real-time model based structural anomaly detection." This invention involves a system and methods for detecting structural anomalies in vehicles in real-time. The system receives measurements from a vehicle structure during operation and compares them to expected operational data. By calculating the statistical significance of any discrepancies, the system can indicate structural anomalies when certain thresholds are exceeded.
Another significant patent is the "System for shipboard launch and recovery of unmanned aerial vehicle (UAV) aircraft and method therefor." This invention describes a system designed to launch and recover UAVs from a ship. It features a pole member attached to the ship's deck, with an arm member that can move both rotationally and vertically. This design allows for the effective capture and release of UAVs, utilizing the momentum of the aircraft during operation.
Career Highlights
Throughout his career, James M Urnes, Sr. has worked with prominent companies such as The Boeing Company and McDonnell Douglas Corporation. His experience in these leading aerospace firms has significantly influenced his innovative projects and patent developments.
Collaborations
James has collaborated with notable coworkers, including Mark B Hood and William Earl Bond. Their combined expertise has contributed to the successful development of various technologies and patents.
Conclusion
James M Urnes, Sr. exemplifies the spirit of innovation through his patents and contributions to the field of aerospace technology. His work continues to impact the industry, particularly in structural anomaly detection and UAV systems.