Object Attribute Detection via Camera Tracking and Digital Segmentation
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Solution Overview
Problem
There is a need for a digital, quick system to determine attributes of interest such as motion, velocity, acceleration, and strain in materials for educational and industrial applications, as existing methods are inefficient for rapid assessment and feedback.
Innovation Solution
A system comprising a trackable physical object, a tracking system using cameras or sensors, and a digital interface that captures frames, segments the object, determines its attributes, and provides feedback through dynamic displays and calculations, allowing users to manipulate objects and receive real-time data on deformation, stress, and strain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual methods are used to measure material attributes, then measurement precision can be maintained, but productivity is low and time consumption is high
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated digital system using cameras, computer vision algorithms, and machine learning models to detect and analyze material attributes, thereby significantly increasing productivity and reducing time loss
Solution Approach 2:
The system creates digital copies (images) of physical materials and performs measurements on these digital representations, enabling rapid repeated assessments without physically handling or damaging the original materials, thus improving productivity
2Measurement precision
If complex measurement equipment is used to achieve high measurement precision, then attribute detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional system where a single integrated platform performs multiple measurement tasks (dimensional measurement, color analysis, texture detection, defect identification) using common hardware components, thereby achieving high measurement precision without proportionally increasing device complexity
Solution Approach 2:
The system introduces computer vision algorithms and image processing software as intermediaries between the simple camera hardware and the complex material attribute analysis, enabling accurate measurements without requiring complex physical measurement equipment
3Loss of information
If detailed analysis of multiple material attributes is performed, then information completeness improves, but processing time increases
Solution Approach 1:
The system performs preliminary capture of all material attribute information simultaneously in a single imaging operation, then processes different attributes through parallel computational pipelines, ensuring complete information capture without proportionally increasing analysis time
Solution Approach 2:
The patent segments the analysis process into independent parallel tasks (dimensional measurement, color analysis, texture detection, defect identification) that can be processed simultaneously, maintaining information completeness while reducing overall processing time
Data Source
AI summary
A system including at least one object and a computing system. The computing system includes a tracking system configured to detect the object. The tracking system may include a camera or other recording device. The computing system determines at least one attribute of the object based on input from the tracking system.