This inventor holds 1 USPTO granted patent. Top assignee: North Carolina State University. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations by Inventor Fatih Erden in Drone Detection Systems
Introduction
Fatih Erden is an innovative inventor based in Raleigh, North Carolina, known for his contributions to the field of unmanned aerial vehicles (UAV). He holds a significant patent that focuses on drone detection, classification, tracking, and threat evaluation systems. This groundbreaking work has potential implications for enhancing security and safety in various domains.
Latest Patents
Fatih Erden's notable patent is titled "Drone detection, classification, tracking, and threat evaluation system employing field and remote identification (ID) information." This patent describes a comprehensive method to detect, classify, and assess potential threats from UAVs. The system utilizes various techniques, including detecting radio frequency signals emitted by UAVs, classifying the UAV based on the signals, and assessing threat levels through a combination of RF signal analysis and remote identification information.
Career Highlights
Erden is affiliated with North Carolina State University, where he continues to push the boundaries of innovation in drone technology. His work contributes valuable insights to the field of UAV technology and enhances the understanding of safety measures necessary in an era where drones increasingly populate the skies.
Collaborations
Throughout his career, Fatih Erden has collaborated with renowned colleagues such as Ender Ozturk and Haluk Celebi. These collaborations have aided in the development of advanced systems and methodologies for UAV detection and classification.
Conclusion
With a crucial patent in drone detection systems, Fatih Erden stands out as a promising inventor dedicated to addressing challenges in aerial surveillance and safety. His contributions mark an important step forward in UAV technologies, reflecting the dynamic nature of innovation within this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
