This inventor holds 3 USPTO granted patents. Top assignee: Applied Research Associates, Inc.. Active years: 2023-2026.
Company Filing History:
Years Active: 2023-2026
Title: Innovations by John Haas in Acoustic Detection Systems
Introduction
John Haas is an accomplished inventor based in Albuquerque, NM (US). He has made significant contributions to the field of unmanned aerial systems through his innovative patents. With a total of 3 patents, Haas has focused on developing advanced detection systems that enhance safety and security.
Latest Patents
Haas's latest patents include groundbreaking work on the acoustic detection of small unmanned aircraft systems. These systems and methods provide non-line-of-sight passive detection and integrated early warning of unmanned aerial systems using a plurality of acoustic sensors. The sensors are strategically positioned within an intra-netted array, taking into account terrain features and man-made structures. This innovative approach allows for the detection and tracking of unmanned aerial systems in environments where direct line-of-sight is not possible. Furthermore, the acoustic sensors can communicate with internal electro-optical components or other external sensors, transmitting orthogonal signal data to remote observation stations for correlation and threat determination. The unmanned aerial systems can be classified by type, and a threat level can be assessed accordingly.
Career Highlights
Haas is currently employed at Applied Research Associates, Inc., where he continues to push the boundaries of technology in his field. His work has been instrumental in advancing the capabilities of unmanned aerial system detection.
Collaborations
Some of his notable coworkers include Robert M Serino and Mark J McKenna, who contribute to the innovative environment at Applied Research Associates, Inc.
Conclusion
John Haas's contributions to the field of acoustic detection systems for unmanned aerial vehicles demonstrate his commitment to innovation and safety. His patents reflect a deep understanding of technology and its applications in real-world scenarios.
