Abstract: A system for performing a post-processing panoramic imagery geo-rectification process is provided. The system is for use with aerial imagery and is agnostic to where the system operates, which may be a computing device including, without limitation, a PC, servers, or in the cloud. This process includes at least two subprocesses, wherein subprocess 1 includes instructions to solve six degrees of freedom for camera position, without human intervention; namely the latitude, longitude, altitude, pan, tilt, and roll. Subprocess 2 includes a method for placing warp points, which define a thin-plate spline that can be utilized on a server or within a compatible software system.

Abstract: A method and system are provided for monitoring an online activity to be performed by a user of a user computer. A trigger program runs on the user computer to detect possible violations by the user of predefined rules associated with the online activity. The trigger program is configured to analyze multiple streams of data collected by the user computer during the activity. The analyzed data is automatically annotated to assist in determine whether a violation of the predefined rules occurred. The analyzed data is stored for reviewed after the activity. Each trigger program can be activated in response to at least one of: video information about the activity, facial recognition information about the user, audio information about the activity, keystroke information relating to the user computer and the browsing history of the user computer during the activity.

Abstract: A method is provided for converting a two-dimensional image or bitmap of a handwritten manuscript into three-dimensional data The three-dimensional data can be used to automatically recognize features of the manuscript, such as characters or words. The method includes the steps of: converting the two-dimensional image into three-dimensional volumetric data; filtering the three-dimensional volumetric data; and processing the filtered three-dimensional volumetric data to resolve features of the two-dimensional image. The method can be used, for example, to differentiate between ascenders, descenders, loops, curls, and endpoints that define the overall letter forms in handwritten text, manuscripts or signatures.

Abstract: A method is provided for converting a two-dimensional image or bitmap of a handwritten manuscript into three-dimensional data The three-dimensional data can be used to automatically recognize features of the manuscript, such as characters or words. The method includes the steps of: converting the two-dimensional image into three-dimensional volumetric data; filtering the three-dimensional volumetric data; and processing the filtered three-dimensional volumetric data to resolve features of the two-dimensional image. The method can be used, for example, to differentiate between ascenders, descenders, loops, curls, and endpoints that define the overall letter forms in handwritten text, manuscripts or signatures.