Abstract: Embodiments of the present disclosure relate to a scanning device comprising a support base, a calibration pattern disposed on an upper surface of the support base, and a plurality of cameras distributed around an outer perimeter of the support base. In at least one embodiment, the calibration pattern is undetectable or substantially undetectable to the human eye.

Abstract: Embodiments of the present disclosure relate to a scanning device comprising a support base, a pressure panel disposed on an upper surface of the support base, and a plurality of cameras distributed around an outer perimeter of the support base.

Abstract: Methods, systems, and non-transitory computer readable media for computing physical dimensions of feet based on user-captured images are described. In at least one embodiment, an exemplary method comprises: receiving, by a server from a user device, an image of the user's foot or feet; segmenting the image to identify the user's foot or feet; computing the one or more physical parameters of the user's foot or feet.

Abstract: Embodiments of the present disclosure relate to a scanning device comprising a support base, a pressure panel disposed on an upper surface of the support base, and a plurality of cameras distributed around an outer perimeter of the support base.

Abstract: Methods, systems, and non-transitory computer readable media for providing a user portal to facilitate modeling of foot-related data are described.

Abstract: Methods, systems, and non-transitory computer readable media for computing physical dimensions of feet based on user-captured images are described. In at least one embodiment, an exemplary method comprises: receiving, by a server from a user device, an image of the user's foot or feet; segmenting the image to identify the user's foot or feet; computing the one or more physical parameters of the user's foot or feet.

Abstract: Methods, systems, and non-transitory computer readable media for computing physical dimensions of feet based on user-captured images are described. In at least one embodiment, an exemplary method comprises: receiving, by a server from a user device, an image of the user's foot or feet; segmenting the image to identify the user's foot or feet; computing the one or more physical parameters of the user's foot or feet.

Abstract: Embodiments of the present disclosure relate to a scanning device comprising a support base, a pressure panel disposed on an upper surface of the support base, and a plurality of cameras distributed around an outer perimeter of the support base.

Abstract: Embodiments of the present disclosure relate to a scanning device comprising a support base, a pressure panel disposed on an upper surface of the support base, and a plurality of cameras distributed around an outer perimeter of the support base.

Abstract: Embodiments of the present disclosure relate to a scanning device comprising a support base, a pressure panel disposed on an upper surface of the support base, and a plurality of cameras distributed around an outer perimeter of the support base.

Abstract: A network device receives, from a client device, a request to perform a network speed test of a network connecting the client device and the network device. The network device conducts a trial test, involving data delivery between the network device and the client device, to determine an approximate capacity of the network. The network device selects an optimum data size based on results of the trial test, and selects a number of threads needed to saturate the network based on the results of the trial test. The network device controls conducting of the network speed test, using a control thread from the network device to the client device, wherein the network speed test utilizes the optimum data size and the selected number of threads.

Abstract: A network device receives, from a client device, a request to perform a network speed test of a network connecting the client device and the network device. The network device conducts a trial test, involving data delivery between the network device and the client device, to determine an approximate capacity of the network. The network device selects an optimum data size based on results of the trial test, and selects a number of threads needed to saturate the network based on the results of the trial test. The network device controls conducting of the network speed test, using a control thread from the network device to the client device, wherein the network speed test utilizes the optimum data size and the selected number of threads.