home medical alert systems
Setting up the account may add additional call time. Closed circuit television CCTV, also known as
video surveillance, is the use of video cameras to transmit a signal to a specific place, on a limited set of monitors. It differs from broadcast television in that the signal is not openly transmitted, though it may employ point to point P2P, point to multipoint P2MP, or mesh wired or wireless links. Though almost all video cameras fit this definition, the term is most often applied to those used for surveillance in areas that may need monitoring such as banks, stores, and other areas where security is needed. Though Videotelephony is seldom called 'CCTV' one exception is the use of video in distance education, where it is an important tool. In industrial plants, CCTV equipment may be used to observe parts of a process from a central control room, for example when the environment is not suitable for humans. CCTV systems may operate continuously or only as required to monitor a particular event. A more advanced form of CCTV, utilizing digital video recorders DVRs, provides recording for possibly many years, with a variety of quality and performance options and extra features such as motion detection and email alerts. More recently, decentralized IP cameras, perhaps equipped with megapixel sensors, support recording directly to network attached storage devices, or internal flash for completely stand
alone operation. The earliest video surveillance systems involved constant monitoring because there was no way to record and store information. The development of reel to reel media enabled the recording of surveillance footage.
Blandit Etiam
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. In some implementations, a categorization is based on a determination that the event occurred within a particular zone of interest. In some implementations, a categorization is based on a determination that the event candidate involves one or more zones of interest. In some implementations, a categorization is based on audio data and/or audio event characterization. In some implementations, the video source 501 e. g.
