Portable Computer Vision Motion Analysis Without Specialized Capture

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Solution Overview

Problem

Existing computer vision systems require sophisticated capture systems and dedicated facilities for data generation, limiting their accessibility and practicality due to laborious and costly processes.

Innovation Solution

A portable computing device with a camera and analysis engine generates computer vision data locally, allowing for the capture and processing of digital images to produce computer vision data in a portable format that can be transferred and analyzed by downstream devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If sophisticated vision capture systems are used to generate computer vision data, then measurement precision is improved, but device complexity and cost increase

Engineering Contradiction:

Improvecomputer vision data qualityVSAvoidcapture system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses standard cameras to capture images that are then processed through machine learning models to generate computer vision data. Instead of requiring expensive specialized capture systems, the invention creates a copy of the vision data generation process using readily available hardware, thereby reducing device complexity while maintaining data quality through software-based processing

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces complex mechanical vision capture systems with standard cameras and computational processing. The sophisticated data generation is achieved through algorithmic processing (machine learning models) rather than through complex hardware systems, substituting mechanical complexity with computational intelligence

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If sophisticated vision capture systems are used to generate computer vision data, then measurement precision is improved, but cost increases

Engineering Contradiction:

Improvecomputer vision data qualityVSAvoidsystem cost

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The invention uses standard, inexpensive cameras instead of expensive specialized vision capture systems. The quality enhancement is achieved by copying the data generation approach but implementing it with affordable hardware and processing it through software algorithms, significantly reducing system cost

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent employs standard consumer-grade cameras that are much cheaper than professional vision capture systems. These inexpensive devices can be easily replaced or disposed of, eliminating the need for expensive, long-term investments in specialized hardware while still producing usable computer vision data through computational processing

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

3Measurement precision

If dedicated facilities with sophisticated vision capture systems are used, then measurement precision is improved, but ease of operation deteriorates

Engineering Contradiction:

Improvecomputer vision data qualityVSAvoidaccessibility

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent creates a portable version of the vision data generation system using standard cameras that can be easily operated in various locations. Instead of requiring dedicated facilities, the system can be deployed anywhere, greatly improving ease of operation and accessibility while maintaining data quality through computational processing

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The invention transforms the static, facility-based vision capture system into a dynamic, portable system that can adapt to different locations and situations. The system can be moved and reconfigured as needed, providing flexibility and ease of operation unlike fixed dedicated facilities

Inventive Principle:

Principle #15Dynamics

4Device complexity

If standard cameras are used to capture images, then device complexity is reduced, but measurement precision deteriorates

Engineering Contradiction:

Improvecapture system simplicityVSAvoidcomputer vision data quality

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent compensates for the simplicity of standard cameras by replacing mechanical processing with computational processing. Machine learning models and algorithms process the images to extract precise computer vision data, substituting the need for complex hardware with intelligent software processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250281070A1Deriving insights into motion of an object through computer vision

Publication Date: 2025.09.11 HINGE HEALTH INC

AI summary

Introduced here are computer programs that are able to generate computer vision data through local analysis of image data (also referred to as “raw data” or “input data”). The image data may be representative of one or more digital images that are generated by an image sensor. Also introduced here are apparatuses for generating and handling the image data and computer vision data.