The disclosure relates to a system for evaluating movement of a body of a user. The system may include a video display, one or more digital cameras, and a processor. The processor may control the one or more cameras to generate images of at least the part of the body over a period of time. The processor may estimate a position of a plurality of joints of the body. The processor may receive a selection of a tracked pose, and determine, from the plurality of joints, a set of joints associated with the tracked pose. The processor may generate at least one joint vector connecting joints in the set of joints, and assign, based on changes in the joint vector over the period of time, a form score to a performance of the tracked pose. The processor may then generate a user interface that depicts the form score.

Described are systems and methods for detecting objects using calibrated imaging devices and obfuscating, in real-time or near real time, portions of the video data to protect the privacy of operators represented in the video data. For example, a position of an operator within a fulfillment center may be determined or tracked in video data and the pixels representative of that operator may be obfuscated using pixilation and/or other techniques so that a reviewing agent that is viewing the video data cannot determine the identity of the operator. Such obfuscation may be performed in real-time or near real-time using automated processing. In addition, only portions of the video data may be obfuscated so that events (e.g., item picks, item place) and/or other objects represented in the video data are still viewable to the reviewing agent.

A geospatial modeling system may include a memory and a processor cooperating therewith to generate a three-dimensional (3D) geospatial model including geospatial voxels based upon a plurality of geospatial images, obtain a newly collected geospatial image, and determine a reference geospatial image from the 3D geospatial model using Artificial Intelligence (AI) and based upon the newly collected geospatial image. The processor may further align the newly collected geospatial image and the reference geospatial image to generate a predictively registered image, and update the 3D geospatial model based upon the predictively registered image.

This application discloses methods, systems, and computer-implemented virtualization software applications and computer-implemented graphical user interface tools for remote virtual visualization of structures. Images are captured by an imaging vehicle of a structure and the captured images are transmitted to a remote server via a communication network. Using virtual 3D digital modeling software the server, using the images received from the imaging vehicle, generates a virtual 3D digital model of the structure and stores it in a database. This virtual 3D digital model can be accessed by remote users, using virtualization software applications, and used to view images of the structure. The user is able to manipulate the images and to view them from various perspectives and compare the before-the-damage images with images taken after damage have occurred. Based on all this the user is enabled to remotely communicate with an insurance agent and/or file an insurance claim.

A three-dimensional sensing system includes a plurality of scanners each emitting a light signal to a scene to be sensed and receiving a reflected light signal, according to which depth information is obtained. Only one scanner executes transmitting corresponding light signal and receiving corresponding reflected light signal at a time.

There is provided an image processing device and a moving image data generation method capable of easily searching for 3D model data. The image processing device includes: a storage unit that stores a plurality of 3D models and a plurality of 3D model feature amounts respectively corresponding to the plurality of 3D models; a search unit that searches for a 3D model having a feature amount similar to an input feature amount of a subject on the basis of the feature amount of the subject and the 3D model feature amounts stored in the storage unit; and an output unit that outputs the 3D model searched by the search unit. The present technology can be applied to, for example, an image processing device that searches for a 3D model.

Technologies are described for reconstructing physical objects which are preserved or represented in pictorial records. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing physical models and/or other reconstructed models based on physical geometry. The 3D point cloud models can be encoded into one or more latent space feature vector representations which can allow both local and global geometric properties of the object to be described. The one or more feature vector representations of the object can be used individually or in combination with other descriptors for retrieval and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives sensor data via wireless communication; updates an electronic inventory of goods within a store based upon the received sensor data associated with the item movement or purchase; receives an electronic order of goods from a customer mobile device via wireless communication or data transmission over one or more radio frequency links; determines if the goods in the electronic order received from the customer are still available; generates a LIDAR-based virtual map of the store; determines a location of the goods in the electronic order that are still available; overlays the determined location of the goods onto the LIDAR-based virtual map of the store; and displays an updated LIDAR-based virtual map of the store displaying aisles of the store and the determined location of the goods within the store.

A system for managing treatment of a person in need of emergency assistance is provided. The system includes at least one camera configured to be mounted to a person in need of medical assistance. The system also includes an image processing device, which can be configured to receive images captured by the at least one camera and to process the images to generate a representation of a rescue scene surrounding the person. The system further includes an analysis device. The analysis device can be configured to determine a characteristic associated with a resuscitation activity based on analysis of the representation of the rescue scene generated by the image processing device. A computer-implemented method for managing treatment of a person in need of emergency assistance is also provided.

A waveguide apparatus includes a planar waveguide and at least one optical diffraction element (DOE) that provides a plurality of optical paths between an exterior and interior of the planar waveguide. A phase profile of the DOE may combine a linear diffraction grating with a circular lens, to shape a wave front and produce beams with desired focus. Waveguide apparati may be assembled to create multiple focal planes. The DOE may have a low diffraction efficiency, and planar waveguides may be transparent when viewed normally, allowing passage of light from an ambient environment (e.g., real world) useful in AR systems. Light may be returned for temporally sequentially passes through the planar waveguide. The DOE(s) may be fixed or may have dynamically adjustable characteristics. An optical coupler system may couple images to the waveguide apparatus from a projector, for instance a biaxially scanning cantilevered optical fiber tip.