A system receives an image relating to an industrial process or a business process, and extracts meta data from the image. The system further receives work order data relating to the industrial process or business process. The image is processed via a machine learning algorithm. The image meta data is used to match the image with the work order data, and the output from the processing of the image via the machine learning algorithm is analyzed. The results of the analysis are displayed on a computer display device, and a recommendation for addressing an issue or a problem associated with the work order data is provided. In another embodiment, quality data are also used in addition to the work order data.

The present disclosure provides a system and method for online brand continuity. Online brand continuity can include a number of Internet or intranet access points via which one or more network addresses can be advertised. A client can be provided with availability of a business image application via at least one of the Internet or intranet access points.

A data management device, communication system and methods for tagging data in a data table and triggering automated action. A data management device receives from a first data provider one or more records of a data table, each record comprising a plurality of fields. The data table is associated with an account having one or more authorized users. The plurality of fields each has a value set by the first data provider. The data manger determines one or more tags for the one or more records in accordance with a plurality of autotagging rules. The data manger appends the one or more records to include one or more tag fields corresponding to the one or more tags for the one or more records. The appended records are stored in a database. One or more automated actions may be triggered based on one or more tag fields of one or more of the plurality of records.

In one implementation, a non-transitory computer-readable storage medium stores program instructions computer-executable on a computer to perform operations. The operations include obtaining first content representing a physical environment in which an electronic device is located using an image sensor of the electronic device. A physical feature corresponding to a physical object in the physical environment is detected using the first content. A feature descriptor corresponding to a physical parameter of the physical feature is determined using the first content. Second content representing a computer generated reality (CGR) environment is generated based on the feature descriptor and presented on a display of the electronic device.

In one implementation, a non-transitory computer-readable storage medium stores program instructions computer-executable on a computer to perform operations. The operations include obtaining first content representing a physical environment in which an electronic device is located using an image sensor of the electronic device. A physical feature corresponding to a physical object in the physical environment is detected using the first content. A feature descriptor corresponding to a physical parameter of the physical feature is determined using the first content. Second content representing a computer generated reality (CGR) environment is generated based on the feature descriptor and presented on a display of the electronic device.

Systems and methods for generating a requested image view are disclosed. Exemplary implementations may: electronically store map information and contextual information for an area; receive a query for the requested image view; determine, based on the parameter values specified by the query and the map information, values of the physics-based metric; translate the contextual information to a translated representation of the contextual information; encode, based on the translated representation of the contextual information and the values of the physics-based metric, an image file that defines the requested image view such that the translated representation of the contextual information and the values of the physics-based metric are combined; and generate the requested image view by decoding the image file.

The technology disclosed relates to generating ground truth training data to train a neural network-based template generator for cluster metadata determination task. In particular, it relates to accessing sequencing images, obtaining, from a base caller, a base call classifying each subpixel in the sequencing images as one of four bases (A, C, T, and G), generating a cluster map that identifies clusters as disjointed regions of contiguous subpixels which share a substantially matching base call sequence, determining cluster metadata based on the disjointed regions in the cluster map, and using the cluster metadata to generate the ground truth training data for training the neural network-based template generator for the cluster metadata determination task.

The present invention provides an information processing apparatus and a method of controlling the same. The information processing apparatus has a console unit that accepts an instruction by a user via a button displayed on a screen. The information processing apparatus registers a setting for executing processing corresponding to the button, prompts a user to input identification information to be added to image data generated by a function corresponding to the button, and when the button is instructed via the console unit, the information processing apparatus outputs the image data to which the identification information has been added to a destination corresponding to the setting which is registered in association with the button.

The techniques disclosed herein improve the efficiency of a system by providing intelligent agents for managing data associated with objects that are displayed within mixed-reality and virtual-reality collaboration environments and facilitating communication between the agents and computing devices associated with the collaboration environments. Individual agents are configured to collect, analyze, and store data associated with individual objects in a database associated with the agent . The agents are further configured to receive queries from the computing devices regarding an individual object. Agents can respond to queries by presenting relevant information collected by the agent with a view of the queried object of interest In addition, the data stored by the agents can be shared between different collaboration environments without requiring users to manually store and present a collection of content for each object. The intelligent agents can also persist across multiple collaboration environments to enhance user engagement and improve productivity.

Techniques for distinguishing objects (e.g., an individual or an individual pushing a shopping cart) are disclosed. An object is detected in images of a scene. A height map is generated from the images, and the object is represented as height values in the height map. Based on height properties associated with another object, it is determined whether the other object is associated with the object. If so determined, the objects are classified separately.