LATA Trademark Information

On Monday, November 26, 2012, a U.S. federal trademark registration was filed for LATA. The USPTO has given the LATA trademark serial number of 85786823. The current federal status of this trademark filing is CONTINUED USE AND INCONTESTIBILITY ACCEPTED. The correspondent listed for LATA is Lisa A. Osman of DORSEY & WHITNEY LLP, 1400 WEWATTA ST STE 400, IP Department DENVER, CO 80202-5549 . The LATA trademark is filed in the category of Computer & Software Products & Electrical & Scientific Products . The description provided to the USPTO for LATA is Computer hardware and peripheral devices and computer software for the real time tracking and display of the position of freight and passenger trains and scheduling, analysis and reporting of adherence to schedule of freight and passenger trains, permitting communications among a train central command center, the train cab and other cars of the train, real time tracking and reporting of passenger counts and freight information by train car, and permitting display of visual messages and broadcast of audible messages pertaining to train performance and emergency situations at train platforms and on trains; Computer hardware and peripheral devices and computer software for video surveillance of railroads and metropolitan transit systems; Automated self-contained electronic surveillance devices that can be deployed to gather evidence or intelligence in remote locations; Electric and electronic video surveillance installations; Access control and alarm monitoring systems; Facilities management software, namely, software to control building environment, access and security systems; Control system for the remote observation, management and operation of transit systems, comprising computers, software and video display screens; Computer software for analytic analysis and reporting for transit system data; Computer hardware and peripheral devices and computer software for video surveillance management, namely, video capture, storage and retrieval and automatic condition detection via video surveillance with associated alerts.