A downloadable navigator for a mobile ultrasound unit having an ultrasound probe, implemented on a portable computing device. The navigator includes a trained orientation neural network to receive a non-canonical image of a body part from the mobile ultrasound unit and to generate a transformation associated with the non-canonical image, the transformation transforming from a position and rotation associated with a canonical image to a position and rotation associated with the non-canonical image; and a result converter to convert the transformation into orientation instructions for a user of the probe and to provide and display the orientation instructions to the user to change the position and rotation of the probe.

Techniques described herein dynamically adapt an amount of smoothing that is applied to signals of a device (e.g., positions and/or orientations of an input mechanism, positions and/or orientations of an output mechanism) based on a determined distance between an object and the device, or based on a determined distance between the object and another device (e.g., a head-mounted device). The object can comprise one of a virtual object presented on a display of the head-mounted device or a real-world object within a view of the user. The object can be considered a “target” object based on a determination that a user is focusing on, or targeting, the object. For example, the head-mounted device or other devices can sense data associated with an eye gaze of a user and can determine, based on the sensed data, that the user is looking at the target object.

Techniques described herein dynamically adapt an amount of smoothing that is applied to signals of a device (e.g., positions and/or orientations of an input mechanism, positions and/or orientations of an output mechanism) based on a determined distance between an object and the device, or based on a determined distance between the object and another device (e.g., a head-mounted device). The object can comprise one of a virtual object presented on a display of the head-mounted device or a real-world object within a view of the user. The object can be considered a “target” object based on a determination that a user is focusing on, or targeting, the object. For example, the head-mounted device or other devices can sense data associated with an eye gaze of a user and can determine, based on the sensed data, that the user is looking at the target object.

Systems and methods are provided for planning a procedure. A display device is configured to display a first virtual element. A controller device having a processor is configured to be in communication with the display device, and the controller device is further configured to direct the display device to display the first virtual element. A physical control element is in communication with the controller device, and is configured to correspond to the first virtual element such that an actual manipulation of the control element is displayed, via the processor of the controller device and on the display device, as a corresponding response of the first virtual element to the actual manipulation of the control element. Associated systems, methods, and computer program products are also provided.

A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.

Computing systems may support image classification and image detection services, and these services may utilize object detection/image classification machine learning models. The described techniques provide for normalization of confidence scores corresponding to manipulated target images and for non-max suppression within the range of confidence scores for manipulated images. In one example, the techniques provide for generating different scales of a test image, and the system performs normalization of confidence scores corresponding to each scaled image and non-max suppression per scaled image These techniques may be used to provide more accurate image detection (e.g., object detection and/or image classification) and may be used with models that are not trained on modified image sets. The model may be trained on a standard (e.g. non-manipulated) image set but used with manipulated target images and the described techniques to provide accurate object detection.

Computing systems may support image classification and image detection services, and these services may utilize object detection/image classification machine learning models. The described techniques provide for normalization of confidence scores corresponding to manipulated target images and for non-max suppression within the range of confidence scores for manipulated images. In one example, the techniques provide for generating different scales of a test image, and the system performs normalization of confidence scores corresponding to each scaled image and non-max suppression per scaled image These techniques may be used to provide more accurate image detection (e.g., object detection and/or image classification) and may be used with models that are not trained on modified image sets. The model may be trained on a standard (e.g. non-manipulated) image set but used with manipulated target images and the described techniques to provide accurate object detection.

The present disclosure generally describe user interfaces related to time. In accordance with embodiments, user interfaces for displaying and enabling an adjustment of a displayed time zone are described. In accordance with embodiments, user interfaces for initiating a measurement of time are described. In accordance with embodiments, user interfaces for enabling and displaying a user interface using a character are described. In accordance with embodiments, user interfaces for enabling and displaying a user interface that includes an indication of a current time are described. In accordance with embodiments, user interfaces for enabling configuration of a background for a user interface are described. In accordance with embodiments, user interfaces for enabling configuration of displayed applications on a user interface are described.

The present disclosure generally describe user interfaces related to time. In accordance with embodiments, user interfaces for displaying and enabling an adjustment of a displayed time zone are described. In accordance with embodiments, user interfaces for initiating a measurement of time are described. In accordance with embodiments, user interfaces for enabling and displaying a user interface using a character are described. In accordance with embodiments, user interfaces for enabling and displaying a user interface that includes an indication of a current time are described. In accordance with embodiments, user interfaces for enabling configuration of a background for a user interface are described. In accordance with embodiments, user interfaces for enabling configuration of displayed applications on a user interface are described.

A method and a system for generating a composite video feed for a geographical area are disclosed. A video of the geographical area, captured by a camera, of an aerial platform is received. The video includes metadata indicative of location information, which is used to identify the coordinates of the geographical area. An image that is adjacent to the geographical area is received from the geographical information system and is transformed according to the metadata. The coordinates of the geographical area are used to determine an area with the image. The video is embedded in the area by matching the area with the coordinates of the geographical area, where the edges of the video correspond to the boundaries of the area. A composite video feed, including the video embedded along with the image, is generated and a video player displays the composite video feed.