12 results about "Comparison area" patented technology

The invention provides a document information intelligent extraction and comparison method and system, and relates to the technical field of document intelligent processing analysis, and the method comprises the following steps: obtaining a comparison document and a to-be-compared document, and converting the comparison document and the to-be-compared document into PNG images; selecting a comparison area and a to-be-compared area, and preprocessing the PNG image to obtain a comparison area image and a to-be-compared area image; performing table recognition based on the comparison region image and the to-be-compared region image; according to the table recognition result, extracting a comparison text and a to-be-compared text; semantic understanding is carried out based on the comparison text and the to-be-compared text; and performing retrieval and text difference comparison according to the semantic understanding result to obtain row-level difference and character-level difference, and generating a visual comparison report based on the row-level difference and the character-level difference. The method can adapt to processing of multiple types of documents, is high in precision of complex table recognition and semantic understanding, supports analysis and comparison of specified areas or contents, and is visual in comparison result difference display.

Systems and methods are disclosed for centralized management and application of distributed parameters through a data generation platform. The platform obtains an aggregate rule set including zone-specific parameter sets and zone classifiers for multiple zones, where the rule set determines allocation metric values associated with transaction values of resources. Upon receiving input data including entity identifiers, resource identifiers, and transaction data, the platform maps the data to zones by comparing zone classifiers, filters the aggregate rule set to generate a zone-specific rule subset, and applies the subset to generate allocation metric values. The platform can process requests synchronously through online message queues and / or asynchronously for bulk processing. Machine learning models can use distribution patterns across multiple resource sets to generate overall allocation metrics and modification suggestions. The platform can provide a graphical user interface for displaying allocation metrics, resource information, and / or supplemental explanations.

To provide an apparatus and method for effectively visualizing the effect that is produced by TVCM broadcasted in a target area for actions on a computer network, and a program therefor.SOLUTION: An apparatus is configured to: acquire action history data representing actions on an IP network (S301); generate time-series first effect scores in an effect measurement area, and time-series second effect scores in a comparative area for comparison on the basis of the acquired action history data (S302); calculate a coefficient by comparing the sum of the second effect scores with the sum of the first effect scores in a period before broadcasting of TVCM (S303); generate third effect scores by multiplying the second effect scores by the coefficient (S304); and transmit display information, such as an HTML file, or the like, to be displayed with the first effect sores, to a terminal (S305).SELECTED DRAWING: Figure 3

Methods and systems for code translation include translating source code for an original program, written in a first programming language, to source code for a translated program, written in a second programming language, using a language model. The original program and the translated program are instrumented, using comparison regions of each, to configure the original program and the translated program to generate respective outputs at equivalent points. The original program and the translated program are executed concurrently to generate an original output and a translated output. The language model is updated to correct the translated program based on a discrepancy between the original output and the translated output. 

The present invention relates to an information processing device and an information processing method that make it possible to more easily select an environment map suitable for a real scene. An information processing device according to the present invention is provided with: a comparison region detection unit that detects, for each of a plurality of HDRIs, a region corresponding to the angle of view of a captured image as a comparison region; a similarity calculation unit that calculates, for each of the plurality of HDRIs, the degree of similarity between a comparison region image and the captured image, the comparison region image being an image of the comparison region; and an HDRI determination unit that determines one or more HDRIs on the basis of the calculated degrees of similarity. The present invention can be applied to, for example, an information processing device for selecting an HDRI.

1. The name of the design product: electronic device operation action analysis graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram 3. 5. The electronic device is a conventional design, and other views are omitted. 6. The use of the graphical user interface: the product interface is an interactive interface for operation action analysis; used to analyze problems existing in the operation process of the operator, compare the process video with the benchmark video for the problems, analyze the comparison of the holding, sewing, adjusting, and placing time and the number of actions, and give improvement suggestions through AI diagnosis to assist the operator in improving skills; in the main view interface, the current total number of warnings is indicated by time and sewing group, and the right card shows the personnel and process that need to be improved in the current group; in the main view interface, after clicking the "analysis" on the right side of any card, the interface change state diagram 1 is displayed; in the interface change state diagram 1, after clicking the "play" icon on the curve, the interface change state diagram 2 is displayed, which is the display in the loading analysis when the loading speed is slow; in the interface change state diagram 2, after loading is completed, the interface change state diagram 3 is displayed, the upper part of the interface is the comparison area of the benchmark video and the warning video, the lower left corner is the holding, sewing, adjusting, and placing time axis, which is distinguished by different colors, and the holding, sewing, adjusting, and placing time and the number of times can be compared, and the right lower corner is the AI diagnosis result; the gray area in the interface is the content picture.

The application discloses a self-learning and detection method, in particular to a self-learning and detection method of product manual assembly process on a production line. Firstly, the working area is divided by the edge detection and rectangle detection technology of OpenCV, the spatial information of the working area is saved, and the learning and debugging stage is started; in this stage, multiple skilled workers simulate the assembly action on the work station, the hand positioning frame with direction is acquired by the palm recognition technology in MediaPipe to position the palm position, the region and trajectory information of the palm are determined by comparing the region information, and the trajectory data is aligned to ensure the consistency in time; next, the genetic algorithm is used to find the optimal trajectory; when the workers actually assemble, MediaPipe tracks the palm position and judges the region information, and then compares it with the standard process. The application solves the technical problem of providing the self-learning and detection method of product manual assembly process on a production line, and has the advantages of faster speed, lower cost, easy popularization and the like.

The processing device (200) derives magnetic domain information in the pixels (520) to be compared in the region (510) to be compared on the basis of the result of comparison between the region to be compared and the template image (410).

The embodiments of the specification provide a product comparison method, a product interaction method, and corresponding devices. The product comparison method includes: displaying a shopping cart page, the shopping cart page including N products to be traded, where N is a positive integer greater than or equal to 2; displaying a product comparison page based on a selection operation on M products among the N products to be traded, the product comparison page including an information comparison area; wherein the information comparison area displays a comparison of each of the M products to be traded in at least one product dimension, where M is a positive integer greater than or equal to 2 and less than or equal to N; returning to the shopping cart page based on a change operation on a first product among the M products to be traded; and replacing the first product to be traded in the information comparison area with the second product to be traded based on a selection operation on a second product among the M products to be traded.

Embodiments of the specification provide a commodity comparison method, a commodity interaction method and respective corresponding devices, the commodity comparison method comprising: displaying a shopping cart page, the shopping cart page comprising N to-be-transacted commodities, N being a positive integer greater than or equal to 2, and selecting M to-be-transacted commodities in the N to-be-transacted commodities based on a selection operation for M to-be-transacted commodities in the N to-be-transacted commodities, displaying a commodity comparison page, wherein the commodity comparison page comprises an information comparison area; wherein the information comparison area displays a comparison condition of each to-be-transacted commodity in at least one commodity dimension in the M to-be-transacted commodities, M is a positive integer greater than or equal to 2 and less than or equal to N, and returning to the shopping cart page based on a money change operation for a first to-be-transacted commodity in the M to-be-transacted commodities, and on the basis of a selection operation for a second to-be-transacted commodity in the shopping cart page, replacing the first to-be-transacted commodity in the information comparison area with the second to-be-transacted commodity.

According to the UUV visual detection fishing net damage method based on the mesh grouping area comparison, the damaged area is detected by comparing the area between the adjacent meshes, and therefore the damaged part of the fishing net in a fish farm is detected. An underwater fishing net image collected by a camera of a UUV is binarized, meshes are extracted and numbered, and the meshes are grouped based on the adjacency relation and then are sorted in an ascending order according to the area. If the difference between the hole with the largest area and the hole with the second largest area in the group is larger than the average hole area of the corresponding group, the hole is detected to be damaged. If no damage exists in the group, the difference between the mesh holes with the similar areas can be calculated, the damaged mesh hole can be detected by the surrounding mesh holes for multiple times through a grouping program, the damaged part is finally judged, a bounding box is drawn on the damaged part, and therefore the detection of the damaged part of the fishing net is achieved. A net damage detection algorithm is evaluated on a data set of 600 images, and the following performance indexes are realized: the accuracy is 88.00%, the precision is 86.10%, and the recall rate is 88.30%.

Embodiments of the present disclosure provide methods for generating intra-die references for inter-die defect detection techniques. An inspection method using intra-die references includes finding similar tiles of a lithographic mask, the similar tiles defined by similar CAD information. A comparison distance is selected based on (i) areas of the similar tiles and (ii) spatial relationships between the similar tiles. Based on the comparison distance, the similar tiles are aggregated to provide a plurality of aggregated areas; and comparable areas of the lithographic mask are defined based on the plurality of aggregated tiles. An image of at least some of the comparable areas of the lithographic mask is acquired using an inspection module. The acquired images are compared.