Iwatchlife Inc.

Other

Jason Phillips

Robert Laganiere

Pascal Blais

William A Murphy

Charles Black

A method for performing video analytics includes receiving at a source end video data including first video data relating to an event of interest. Using video analytics, other than a data compression process, pre-processing of the video data is performed at the source end to reduce the bandwidth requirement for transmitting the video data to below a bandwidth limit of a Wide Area Network (WAN) over which the video data is to be transmitted. The pre-processed video data is transmitted to a central server via the WAN, where other video analytics processing of the pre-processed video data is performed. Based on a result of the other video analytics processing, a signal is generated for performing a predetermined action, in response to an occurrence of the event of interest at the source end.

Video analytics with pre-processing at the source end

A method includes receiving, at a peer node, statistical data based on video data and relating to the video data, but other than a video content and an image content of the video data. In particular, the peer node is other than within a trusted group of nodes trusted for accessing the video data. At the peer node, the statistical data is analyzed to identify predetermined patterns therein. Upon identifying a predetermined pattern, a signal is provided to a trusted processor relating to the identified pattern.

Method and system for anonymous video analytics processing

A method for providing streamed video data from a plurality of sources within a known geographic area includes receiving at a server, via a communication network, first video stream data captured within the known geographic area using a first user device and second video stream data captured within the known geographic area using a second user device. The first video stream data is provided from the server to a display device associated with a user for being viewed by the user. An indication that the second video stream data is available to be viewed in addition to the first video stream data is also provided, from the server to the display device, via the communication network.

Collective broadcasting based on geo-localized video streaming

A method for performing video analytics comprises capturing video data using a video source disposed at an acquisition end. The captured video data is stored at the acquisition end, and non-adjacent single frames of the captured video data are transmitted from the acquisition end to a server via an IP network. The non-adjacent single frames of captured video data are transmitted one at a time at known time intervals, or a burst of a plurality of non-adjacent single frames is transmitted at another known time interval. At the server, video analytics is performed on a current one of the non-adjacent single frames for detecting an actionable event relative to a previous one of the non-adjacent single frames. In response to detecting an actionable event, a signal for requesting previously stored video data captured between the current one of the non-adjacent single frames and the previous one of the non-adjacent single frames is transmitted to the acquisition end via the IP network.

Video analytics method and system

A method for providing video data for video analytics processing includes capturing a plurality of individual frames of video data, using a video source that is disposed at an acquisition end. A plurality of data-frame-groups is formed, each data-frame-group being associated with a different time period of a plurality of consecutive and non-overlapping time periods. A data-frame-group that is associated with a specific time period comprises individual frames of video data that are captured during that specific time period. Additionally, each data-frame-group comprises relatively fewer individual frames of video data than are captured during the specific time period associated therewith. The plurality of data-frame-groups is transmitted from the acquisition end to a remotely located server via an IP network. In particular, the transmission of successive data-frame-groups is separated one from the other by an interval of time.

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Lower Sackville, Canada

Jason Phillips