Abstract: A system for detecting, identifying and tracking objects of interest over time is configured to derive object identification data from images captured from one or more image capture devices. In some embodiments of the system, the one or more image capture devices perform a first object detection and identification analysis on images captured by the one or more image capture devices. The system may then transmit the captured images to a server that performs a second object detection and identification analysis on the captures images. In various embodiments, the second analysis is more detailed than the first analysis. The system may also be configured to compile data from the one or more image capture devices and server into a timeline of object of interest detection and identification data over time.

Abstract: A system for detecting, identifying and tracking objects of interest over time is configured to derive object identification data from images captured from one or more image capture devices. In some embodiments of the system, the one or more image capture devices perform a first object detection and identification analysis on images captured by the one or more image capture devices. The system may then transmit the captured images to a server that performs a second object detection and identification analysis on the captures images. In various embodiments, the second analysis is more detailed than the first analysis. The system may also be configured to compile data from the one or more image capture devices and server into a timeline of object of interest detection and identification data over time.

Abstract: A system for detecting, identifying and tracking objects of interest over time is configured to derive object identification data from images captured from one or more image capture devices. In some embodiments of the system, the one or more image capture devices perform a first object detection and identification analysis on images captured by the one or more image capture devices. The system may then transmit the captured images to a server that performs a second object detection and identification analysis on the captures images. In various embodiments, the second analysis is more detailed than the first analysis. The system may also be configured to compile data from the one or more image capture devices and server into a timeline of object of interest detection and identification data over time.

Abstract: A system and method for tracking association of two or more objects over time, according to various embodiments, is configured to determine the association based at least in part on an image. The system may be configured to capture the image, identify two or more objects of interest within the image, determine whether the two or more objects are associated in the image, and store image association data for the two or more objects. In various embodiments the system is configured to create a timeline of object association over time for display to a user.

Abstract: A system and method for tracking association of two or more objects over time, according to various embodiments, is configured to determine the association based at least in part on an image. The system may be configured to capture the image, identify two or more objects of interest within the image, determine whether the two or more objects are associated in the image, and store image association data for the two or more objects. In various embodiments the system is configured to create a timeline of object association over time for display to a user.

Abstract: A dynamic scheduling system according to various embodiments is configured to optimize pairings of one or more students with one or more teachers, one or more classrooms, and one or more activities. In various embodiments, the system is configured to optimize the pairings based at least in part on one or more needs of the one or more students, as well as teacher, classroom, activity and resource availability. In particular embodiments, the system is configured to factor in a plurality of needs for each particular student while weighing the plurality of needs of each particular student against the needs of other students when optimizing the pairings.

Abstract: A system for detecting, identifying and tracking objects of interest over time is configured to derive object identification data from images captured from one or more image capture devices. In some embodiments of the system, the one or more image capture devices perform a first object detection and identification analysis on images captured by the one or more image capture devices. The system may then transmit the captured images to a server that performs a second object detection and identification analysis on the captures images. In various embodiments, the second analysis is more detailed than the first analysis. The system may also be configured to compile data from the one or more image capture devices and server into a timeline of object of interest detection and identification data over time.

Abstract: Described is a system, method, and product for building a roster. A user interface is rendered. A list of entities is presented. A selection of a first entity and a second entity are received via the user interface. A first list of elements associated with the first entity and a second list of elements associated with the second entity are presented. A selection of an element from the first list of elements is received via the user interface. The second list is updated to include only elements associated with the selected element. A roster is generated, wherein the roster includes summary data, the summary data corresponding to the elements in the updated second list. The summary data is displayed in the user interface.

Abstract: Described is a system, method, and product for adaptive assessment of knowledge. One or more questions are generated by combining, for each question: an item, a correct answer, a distracter (incorrect answer), a path for the distracter, and a standard alignment for the item. The questions are stored in a question database. An item associated with a question in the database is presented. A distracter is received in response to the item. The path for the distracter is identified. One or more next questions are retrieved from the question database, and one or more next items are presented, wherein the one or more next items are associated with the path.

Abstract: Described is a system, method, and product for building a roster. A user interface is rendered. A list of entities is presented. A selection of a first entity and a second entity are received via the user interface. A first list of elements associated with the first entity and a second list of elements associated with the second entity are presented. A selection of an element from the first list of elements is received via the user interface. The second list is updated to include only elements associated with the selected element. A roster is generated, wherein the roster includes summary data, the summary data corresponding to the elements in the updated second list. The summary data is displayed in the user interface.