Serial Number
79395294
Owner
Moog Controls LimitedAttorney
Alexander C. KaczmarekFiling Date
Feb 9, 2024
MADS Trademark
Serial Number: 79395294 • Registration: 7592827
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Alexander C. Kaczmarek Harter Secrest & Emery LLP
50 Fountain Plaza
Suite 1000
Buffalo, NY 14202
United States
Trademark Details
Filing Date
February 9, 2024
Registration Date
December 10, 2024
Published for Opposition
October 8, 2024
Goods & Services
Real-time event detection, monitoring, and reporting system comprised of computer hardware, cameras, electric and radar sensors, recorded computer software for detection, monitoring, and reporting foreign object debris, birds, drones, and pavement damage, location mapping, storing and reviewing event detection logs and statistics, and storing and reviewing images and videos, and downloadable mobile application software for detection, monitoring, and reporting foreign object debris, birds, drones, and pavement damage, location mapping, storing and reviewing event detection logs and statistics, and storing and reviewing images and videos; recorded computer software and downloadable mobile application software for detection, monitoring, and reporting foreign object debris, birds, drones, and pavement damage; recorded computer software and downloadable mobile application software for location mapping; recorded computer software and downloadable mobile application software for storing and reviewing event detection logs and statistics; recorded computer software and downloadable mobile application software for storing and reviewing images and videos
Providing online, non-downloadable software for detection, monitoring, and reporting foreign object debris, birds, drones, and pavement damage; providing online, non-downloadable software for location mapping; providing online, non-downloadable software for storing and reviewing event detection logs and statistics; providing online, non-downloadable software for storing and reviewing images and videos; providing online, non-downloadable software for generation of predictive and preventative maintenance reports based on analysis of data collected by a real-time event detection, monitoring, and reporting system
