reviews of security systems

S. Special Forces soldiers established the firm in Chicago in 2003, and a significant number of Triple Canopy’s employees are former special ops personnel and police officers. According to its official website, the company “provides mission support, security and training services to government agencies and multinational corporations worldwide. ” Triple Canopy employs no less than 5,500 staff, and its clients include NGOs, telecommunication companies, oil and gas businesses, mining firms and financial organizations from all around the world. The company’s chain of command counts former Delta Force soldiers, consultants and analysts among its number. Triple Canopy rose to prominence in 2004 in Iraq, and one of its Iraq defense contracts is valued at $1.

alarm system home security

01.14.2007 | 34 Comments

, devices of a smart home environment 100, and/or receiving e. g. , from client devices 220 and forwarding user initiated control commands to modify operation modes of the electronic devices;a data processing module 3144 for processing the data provided by the electronic devices, and/or preparing and sending processed data to a device for review e. g. , client devices 220 for review by a user, including, but not limited to: an event processor sub module 3146 for processing event candidates and/or events within a received video stream e. g.

home security systems houston

01.14.2007 | 16 Comments

In some implementations, the data is processed at the server system 164 for event start detection. In some implementations, the video and/or audio data is stored on server system 164 e. g. , in video and source data database 509. In some implementations, the video stream is stored on a server distinct from server system 164. In some implementations, after a motion start is detected, the relevant portion of the video stream is retrieved from storage e. g. , from video and source data database 509. In some implementations, the event identification process includes segmenting the video stream into multiple segments then categorizing the event candidate within each segment. In some implementations, categorizing the event candidate includes an aggregation of background factors, entity detection and identification, motion vector generation for each motion entity, entity features, and scene features to generate motion features for the event candidate. In some implementations, the event identification process further includes categorizing each segment, generating or updating an event log based on categorization of a segment, generating an alert for the event based on categorization of a segment, categorizing the complete event, updating the event log based on the complete event, and generating an alert for the event based on the complete event.