Abstract: The present invention may include a computing device receives a location data from a client device, wherein the client device comprises one or more location sensors to generate the location data. The computing device determines an altitude of the client device above a floor from the location data. The computing device determines an age and a height of a user using a trained neural network from the client device and the location data and assigns a wireless network channel to the client device based on the age and the height of the user.

Abstract: Embodiments are for using design context projection and wire editing in augmented media. Responsive to receiving an indication of an error in a design for an integrated circuit (IC), a localized area is extracted encompassing the error in the design. Augmented reality media of the localized area of the design is generated with a guide pattern, the localized area including objects. The augmented reality media of the localized area is caused to be presented in a three-dimensional (3D) projection on an augmented reality device for a user. Responsive to receiving at least one modification to the augmented media in the 3D projection, the design for the IC is updated with the modifications.

Abstract: Embodiments are for using design context projection and wire editing in augmented media. Responsive to receiving an indication of an error in a design for an integrated circuit (IC), a localized area is extracted encompassing the error in the design. Augmented reality media of the localized area of the design is generated with a guide pattern, the localized area including objects. The augmented reality media of the localized area is caused to be presented in a three-dimensional (3D) projection on an augmented reality device for a user. Responsive to receiving at least one modification to the augmented media in the 3D projection, the design for the IC is updated with the modifications.

Abstract: The present invention may include a computing device receives a location data from a client device, wherein the client device comprises one or more location sensors to generate the location data. The computing device determines an altitude of the client device above a floor from the location data. The computing device determines an age and a height of a user using a trained neural network from the client device and the location data and assigns a wireless network channel to the client device based on the age and the height of the user.

Abstract: A computer hardware system having an image modification platform includes a hardware processor configured to initiate the following executable operations. A digital image is received by the image modification platform. A plurality of objects within the digital image are detected using an object segmentation engine of the image modification platform. The plurality of objects are classified using an object classification engine of the image modification platform and involve associating a stakeholder, respectively, to at least two of the plurality of objects. A knowledge map for the digital image is generated based upon the classifying and the stakeholders using a knowledge map engine. A set of constraints are identified for each of the plurality of objects based upon the knowledge map and the plurality of stakeholders. A modified digital image to be published is generated by an interactive image generation engine using the sets of constraints.

Abstract: A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more line segments from the region of interest, determining whether one or more candidate ports can be identified based on at least a portion of the line segments, and in response to determining that one or more candidate ports can be identified, identifying one or more candidate ports, and determining, by the computing device, a gap length associated with the identified candidate ports.

Abstract: A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more possible port edges from the region of interest, fitting the detected possible port edges to a cross-ratio constancy model to determine a port-to-gap-length ratio associated with the patch panel, using the port-length-to-gap-length ratio to determine a location of one or more final port edges, and determining a location of one or more final ports based on the location of the final port edges.

Abstract: A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more line segments from the region of interest, determining whether one or more candidate ports can be identified based on at least a portion of the line segments, and in response to determining that one or more candidate ports can be identified, identifying one or more candidate ports, and determining, by the computing device, a gap length associated with the identified candidate ports.

Abstract: A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more possible port edges from the region of interest, fitting the detected possible port edges to a cross-ratio constancy model to determine a port-to-gap-length ratio associated with the patch panel, using the port-length-to-gap-length ratio to determine a location of one or more final port edges, and determining a location of one or more final ports based on the location of the final port edges.