Dashboard Image Conversion Using Chart Detection and OCR

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Solution Overview

Problem

Transferring information from one dashboard platform to another is challenging due to incompatibilities, requiring manual recreation or conversion to intermediate formats, which is inefficient and error-prone.

Innovation Solution

Systems and methods using machine learning techniques to detect, classify, and recognize text from dashboard images, allowing direct conversion to a new platform by matching text instances to a database for accurate dashboard recreation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual recreation of dashboard is performed, then accuracy of dashboard replication is improved, but time consumption and error rate increase

Engineering Contradiction:

Improvedashboard replication accuracyVSAvoidtime consumption

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent uses image processing to capture a screenshot of the source dashboard and automatically replicates it by detecting chart types, extracting data, and regenerating visualizations in the target platform, eliminating manual recreation while maintaining accuracy

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces manual mechanical operations (copy-pasting, formatting) with automated computer vision and machine learning systems that detect dashboard elements and transform them programmatically between platforms

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If conversion to intermediate format is performed, then compatibility between platforms is improved, but processing steps and complexity increase

Engineering Contradiction:

Improveplatform compatibilityVSAvoidconversion process complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent extracts essential dashboard information directly from the source platform's visual representation (chart types, data, labels) and maps them directly to the target platform's requirements, eliminating the need for intermediate Excel files or manual re-creation steps

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces an automated image processing intermediary system that bridges incompatible platforms by converting visual dashboard representations into actionable reconstruction instructions, avoiding the need for traditional intermediate data formats

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250384199A1Systems and methods for generating dashboards from images

Publication Date: 2025.12.18 PWC PRODUCT SALES LLC

AI summary

A method for generating a dashboard from an image, the method comprises: receiving an image of at least part of a first dashboard generated using a first dashboard platform; applying an object detection model to the image to detect a chart in the image; extracting a portion of the image comprising the chart; applying a classification model to the extracted portion of the image to classify the chart; applying an optical character recognition model to the extracted portion of the image to generate one or more text instances based on the extracted portion; labeling the one or more text instances; applying a matching algorithm based on the one or more labeled text instances to match to text strings in a database; and providing instructions for a second dashboard platform to generate a second dashboard based on data corresponding to the text strings in the database.