Abstract: In the context of a co-browse session, one of the participants elects to include a screenshare task in which a screenshare of a browser window displaying a website will be provided to other participants of the co-browse session. When the screenshare task is started, a location of an address bar of the web browser is identified, optional pre-processing is applied to the image of the address bar, and a character recognition process, is used to determine the characters of the URL in the browser's address bar. The URL is compared with a list of allowed website URLs, and the screenshare session is selectively allowed only if the URL is contained in the list of allowed URLs. Once the URL has been approved, a slice of pixels the address bar is obtained and monitored for changes to the pixels that may indicate a change to the URL.

Abstract: In the context of a co-browse session, one of the participants elects to include a screenshare task in which a screenshare of a browser window displaying a website will be provided to other participants of the co-browse session. When the screenshare task is started, a location of an address bar of the web browser is identified, optional pre-processing is applied to the image of the address bar, and a character recognition process, is used to determine the characters of the URL in the browser's address bar. The URL is compared with a list of allowed website URLs, and the screenshare session is selectively allowed only if the URL is contained in the list of allowed URLs. Once the URL has been approved, a slice of pixels the address bar is obtained and monitored for changes to the pixels that may indicate a change to the URL.

Abstract: A method provides for optimizing at least one exercise. The method includes receiving first image data. The first image data includes first pixel data associated with the user performing the exercise at a first time. The method includes receiving second image data. The second image data includes second pixel data associated with the user performing the exercise at a second time. The method includes determining, based on a difference between the first pixel data and the second pixel data, deviation data associated with a profile of the user. The method includes generating outline data based on the deviation data and corresponding to a frontal area of the user. The method may also include determining drag coefficient data based on the frontal area of the user. The method includes determining, based on the outline data and the drag coefficient data, drag force data associated with the user using the exercise device.

Abstract: A method provides for optimizing at least one exercise. The method includes receiving first image data. The first image data includes first pixel data associated with the user performing the exercise at a first time. The method includes receiving second image data. The second image data includes second pixel data associated with the user performing the exercise at a second time. The method includes determining, based on a difference between the first pixel data and the second pixel data, deviation data associated with a profile of the user. The method includes generating outline data based on the deviation data and corresponding to a frontal area of the user. The method may also include determining drag coefficient data based on the frontal area of the user. The method includes determining, based on the outline data and the drag coefficient data, drag force data associated with the user using the exercise device.

Abstract: Systems and methods for predicting conditions along a course are provided herein. The disclosed techniques utilize data from multiple sources and adjust the data using calibration methods to provide hyper-local course predictions. Hyper-local course predictions are then grouped based on an assigned risk score to yield course segments with similar risk profiles. Information regarding predicted risks for various course segments is then transmitted to a user, possibly with accompanying alert and/or advisory action information to optimize navigation performance.