Abstract: A method and system for an optical polling platform is provided. An optical polling server system receives an image of one or more augmented reality (AR) tag markers associated with a poll. Each AR tag marker is encoded with data, which includes at least a user identifier and a polling option. The system processes the image to identify the one or more AR tag markers in the captured image and detects edges in the image by traversing vertically along image columns. The system identifies potential AR tag markers from final edges based on contrast in pixels of the detected first set of edges and associated neighboring pixels. The AR tag markers are identified from the identified potential AR tag markers by sampling bit areas. Further, the system decodes the one or more AR tag markers to determine user identifier and polling option selected by the user identifier.

Abstract: A method and system for an optical polling platform is provided. An optical polling server system receives an image of one or more augmented reality (AR) tag markers associated with a poll. Each AR tag marker is encoded with data, which includes at least a user identifier and a polling option. The system processes the image to identify the one or more AR tag markers in the captured image and detects edges in the image by traversing vertically along image columns. The system identifies potential AR tag markers from final edges based on contrast in pixels of the detected first set of edges and associated neighboring pixels. The AR tag markers are identified from the identified potential AR tag markers by sampling bit areas. Further, the system decodes the one or more AR tag markers to determine user identifier and polling option selected by the user identifier.

Abstract: Systems and methods of automatic detection of a facial feature are disclosed. Moreover, methods and systems of yaw estimation of a human head based on a geometrical model are also disclosed.

Abstract: Systems and methods of automatic detection of a facial feature are disclosed. Moreover, methods and systems of yaw estimation of a human head based on a geometrical model are also disclosed.

Abstract: Systems and methods of automatic detection of a facial feature are disclosed. Moreover, methods and systems of yaw estimation of a human head based on a geometrical model are also disclosed.

Abstract: Systems and methods of automatic detection of a facial feature are disclosed. Moreover, methods and systems of yaw estimation of a human head based on a geometrical model are also disclosed.

Abstract: A system for providing network-based interactive learning including at least one network-connected passive server and at least one network-connected active server, each executing software from a non-transitory physical medium. The passive server provides a log-in function providing log-in for a student for a specific learning session, a provisioning function downloading reference materials for the particular learning session to the student's appliance after log-in, and a switch function connecting the student's appliance to the at least one active server after the reference material is downloaded.