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The first smart device was created approximately 45 years later. Known as the ECHO IV, it could turn home appliances on and off and control home temperatures; unfortunately, it did not sell well. Home automation technologies began to be built into luxury dwellings decades ago. Disney’s 1999 film, Smart House, provided mainstream audiences with a sense of the possibilities, but the first smart home models and devices began to hit the consumer market in the early 2000s, with the proliferation of the Internet and related technologies a decade earlier. The Internet of Things or IOT is an emerging trend of which smart homes is a subset. IoT involves the integration of digital and wireless technologies in physical objects and systems, especially those historically unconnected. IoT has significant ramifications for the future of smart homes: the more devices that are connected to the Internet, the more can potentially integrated into the smart home system. Examples of IoT as relates to smart homes are the Nest Learning Thermostat, the Chop Syc digital chopping board, the Toncelli Kitchens digital kitchen countertop, the air monitor Birdi, and the Wattio SmartHome 360 energy monitor. Currently, less than 1% of homes employ full smart home technology. But by 2018, HIS Technology, a research firm, predicts that 45 million smart home devices will have been installed, and the annual business volume will have grown to $12 billion dollars. ABI Research predicts growth to $14.

Posted March, 2011 by Admin

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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.

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We mounted and hardwired each of the detectors to the apparatus and noted how long it took to install each one using the included manufacturer instructions.

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Posted February, 2011 by Admin

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