A picture processing method performed by an electronic device, includes: acquiring a target picture; performing region type detection and character recognition on the target picture by combining a target type detection technology and an optical character recognition technology, determining a target region to be occluded from the target picture based on a result of the region type detection and a result of the character recognition, and occluding the target region in the target picture.

The present disclosure discloses an electronic counter scale intelligent verification method based on deep learning detection and identification, which includes: collecting a top image, top depth data, and a front image of the electronic counter scale, and selecting a reading display apparatus on the front image; inputting the top image into a scale pan detection and identification model to obtain a scale pan target detection result, verifying the result with the top depth data, obtaining a spatial position of a scale pan, and outputting the spatial coordinates of the four vertices of the scale pan; inputting the top image into an indicating value detection and identification model to obtain indicating value characters and a position of the display apparatus, correcting similar characters and low-confidence characters, and obtaining an indicating value of the electronic counter scale; and performing unmanned verification of weighing performance, repeatability, bias load, and discrimination.

Receiving image data of a location in the form of a video feed, pictures, and/or depth information, as examples, from a client device controlled by a user, and/or other data is described. The received data serves as an input to a model (e.g., an artificial intelligence (AI)-based model such as a machine learning model) configured to generate an electronic representation of the location enriched with spatially localized details about surfaces and contents of the location. The electronic representation can be used for various purposes. The present disclosure provides a systems, methods, and computer programs that resolve several impediments in existing three dimensional image data acquisition and/or visualization systems by anonymizing personally identifying information (PII) in the received image data.

A method, carried out by one or more processors, for analysing the placement in a user interface, by an electronic device, of digital assets, the method comprising scanning image data of a user interface of an electronic device, capturing image data of an instance of the user interface of the electronic device, identifying a parameter of one or more digital assets in the captured image data.

A position information providing system includes: an information device which includes a GPS sensor and a camera, the information device being configured to extract image data including subject identification information for identifying a photographing subject from image data acquired by the camera, and to generate subject location information that associates position information acquired by the GPS sensor and the subject identification information with each other; and a computer configured to generate information provision data based on the subject location information generated by the information device, wherein the information device has installed therein dedicated software for extracting, from a plurality of pieces of the acquired image data, image data including the subject identification information as required information worth information provision, and is configured to generate the subject location information for the image data extracted through use of the dedicated software, and to transmit the generated subject location information to the computer.

An information processing device includes one or more hardware processors configured to function as a reception unit, an extraction unit, a calculation unit, and a determination unit. The reception unit receives inputs of an image including image regions having a specific relation and region information indicating a first image region in the image. The extraction unit extracts one or more second image regions from the image. The calculation unit calculates a relational-feature indicating a relation between the first image region indicated by the region information and another image region in the image by using the image, and calculates a self-feature indicating a feature of a region for each second image region. The determination unit determines the second image region having the specific relation with the first image region based on a similarity between the relational feature and the self-feature.

An electronic device and a method of operating the same are provided. The electronic device includes memory storing one or more computer programs and a processor communicatively coupled to the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the processor individually or collectively, cause the electronic to receive a user input including a touch trajectory, determine whether the number of strokes of the user input exceeds a first reference value, in case that the number of strokes for the user input exceeds the first reference value, perform line separation for the user input into a first row and a second row, and in case that the number of strokes for the user input is equal to or smaller than the first reference value, perform syllable block recognition on the user input.

A computing system of a provider includes a network interface, a database that can store expense information of the provider, and one or more processors and a memory structured to store instructions that are executable to cause the one or more processors to receive a request to submit an invoice for an expense reimbursement, query a camera device of a first user device to scan the invoice, receive image data of the invoice based on the scan, extract a plurality of data elements of the image data of the invoice, compare the plurality of data elements with the stored expense information of the provider, determine that at least one data element of the plurality of data elements meets an alert criteria, store the plurality of data elements of the invoice in the database, and transmit, to a second user device, a notification including an indication to review the invoice.

An apparatus and method. The apparatus including a least a processor configured to: receive a user profile from a profile database, identify a plurality of tasks using the user profile, determine at least an assignable task, receive internal personnel assignment data from a personnel database, determine internal personnel additional tasks, receive posting data, determine external personnel assignment data as a function of the posting data, generate a personnel list as a function of the internal personnel assignment data and the external personnel assignment data, generate at least one personnel assignment for the assignable task as a function of the personnel list; and transmit the at least a personnel assignment to a user device.

A speech-to-text conversion method includes: performing speech-to-text conversion on speech information to obtain a plurality of pieces of candidate text information; determining target appearance indicators corresponding to the plurality of pieces of candidate text information based on a screen image, the screen image being an image related to the speech information and displayed on a screen during generation of the speech information, and a target appearance indicator of one piece of the candidate text information representing a probability that the candidate text information corresponds to the speech information; selecting the candidate text information whose target appearance indicator meets a requirement from the plurality of pieces of candidate text information as converted text information of the speech information.