The apparatus includes a module configured to acquire a user video including a beauty motion of a user's hand on each beauty target part, a module configured to identify a motion difference between an exemplary motion and the beauty motion by comparing the exemplary motion with the beauty motion, the motion difference including a position difference which is a motion difference related to a position of the beauty motion and a velocity difference which is a motion difference related to a velocity of the beauty motion; and a module configured to generate navigation information corresponding to the motion difference for each beauty target part.

A private network tracking device augmented reality (AR) view system and method that facilitates registering wireless tracking device(s) with a private network for generating a private network visual augmented reality view that includes a rendering of the registered wireless tracking device(s) current location therein. In this way, a combination of location-based features and AR features are employed while leveraging the registration of wireless tracking devices with a private network for generating a private network visual AR view that tracks one or more persons, pets, vehicle, objects, assets and other items and is viewed on an AR device.

A computer implemented method comprising: receiving a report on a condition of a human or animal subject, composed by a user based on a scan of the subject; inputting the current report and the scan into a trained machine learning model; and based on the report and the scan, the machine learning model generating one or more suggestions for updating the text of the report. The method further comprises causing a user interface to display to the user one or more suggestions for updating the text of the report, with each respective suggestion visually linked in the user interface to a corresponding subregion within at least one image of the scan based upon which the respective suggestion was generated.

A method of correcting a colored image includes obtaining a colored image by inputting a sketch image to a first artificial neural network, receiving user input data for a target area in the colored image, and obtaining a corrected image in which a color state of the target area has been changed, by inputting the sketch image and the user input data to a second artificial neural network.

Digital object fusion techniques and systems are described. In one or more examples, a base object and an adornment object are received and anchor points of the base object and the adornment object are detected by a digital object fusion system. The digital object fusion system then identifies linked anchor points from the anchor points as supporting a link between the base object and the adornment object. A path is fused by the digital object fusion system that defines the base object and the adornment object based at least in part on the linked anchor points. From this, a fused object is generated by the digital object fusion system by propagating visual style data to the path from the base object or the adornment object.

Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and computing entities for displaying content found in technical documentation for an item via an IETM viewer. In accordance with one embodiment, a method is provided comprising: providing a window for display via the IETM viewer, the window displaying the content found in the technical documentation; receiving a focus of a first portion of the content received based at least in part on the user performing a first action; and in response, causing the first portion to be conveyed using a first enhancing format; and thereafter: receiving a focus of a second portion of the content received based at least in part on the user performing a second action; and in response: causing the first portion to no longer be conveyed using the first enhancing format; and causing the second portion to be conveyed using a second enhancing format.

In accordance with various embodiments, an electronic device for colorizing a black and white image using a Generative Adversarial Network (GAN)-based model comprising a transformer block includes a processor, wherein the processor is set to: obtain a black and white image including only first information about a luminance channel; and generate a pseudo color image including only second information about a chrominance channel by applying the black and white image to the GAN-based model, the GAN-based model includes a generator network including a plurality of transformer blocks for color conversion, a plurality of convolution layers, and a plurality of transpose convolution layers, the plurality of transformer blocks each include a Depth Wise Convolution (DWC) layer, a first Layer Normalization (LN) layer, a Window-based Multi-head Self Attention (W-MSA) layer, a second LN layer, and a Colorization Feed Forward (CFF) block. Other various embodiments are possible.

A system and method for automatically recoloring an artifact includes receiving the digital artifact and one or more input images and receiving a user query from a user interface screen of an application being executed on a user client device, to create a design that includes the digital artifact and the one or more input images. A prompt is then constructed via a prompt construction engine, for transmission to a generative artificial intelligence (AI) tool, the prompt requesting the generative AI tool to identify a plurality of colors based on the user query. The prompt is transmitted to the prompt to the generative AI tool and the plurality of colors is received from the generative AI tool. The plurality of colors are then transmitted to a base palette generation engine, the base palette generation engine generating a base color palette based on at least one of one or more colors of the one or more input images or the plurality of colors received from the generative AI tool. The digital artifact is recolored based on the base color palette.

A bolt axial force monitoring system is disclosed, enabling detection of bolt loosening from a remote location using a simple structure. The system includes a bolt 1 with a display 2 that changes color based on axial force variation. A sensor (e.g., RGB sensor 4) detects this color change. A first communication unit 51 transmits the sensor data, supported by a power supply. At a remote site, a second communication unit 52 receives the data. A determination unit 10 evaluates the change in axial force from the received data, and an output unit such as a display 11 and storage 12 outputs the evaluated information.

The present disclosure provides a heatmap generation method, a heatmap generation apparatus, a computer device and a storage medium, belongs to the field of heatmap generation technology, and the heatmap generation method includes: acquiring an actual coordinate in a scene coordinate system and a pre-stored base heatmap; converting the actual coordinate into a pixel coordinate to obtain a target pixel point; clustering the target pixel point to obtain a target cluster, and generating category attribute information of the target cluster; and generating a rendering image of the target pixel point on the base heatmap according to parameter information configured for respective categories in advance and the category attribute information of the target cluster to obtain the heatmap.