Container ROI Detection for Accurate Dimensional Measurement
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Solution Overview
Problem
Dimensional variations in containers during manufacturing lead to challenges in accurately determining measurements, requiring time-consuming manual configuration of regions of interest and potentially resulting in incorrect measurements due to operator error and container movement.
Innovation Solution
A vision-based system that autonomously defines regions of interest for containers using a detector and computer system, capable of capturing images from different poses and orientations, identifying edges and features, and determining dimensional measurements, thereby reducing operator intervention and improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration of regions of interest is used for measurement, then operator control is maintained, but measurement accuracy decreases due to operator error and container movement
Solution Approach 1:
The system enables autonomous definition of regions of interest through automated feature detection and container pose identification. The computer system automatically locates container features, determines container orientation, and configures measurement regions without operator intervention, eliminating manual configuration errors while maintaining measurement accuracy
Solution Approach 2:
The patent replaces manual operator actions with an automated vision-based system. The detector captures container images, and the computer system processes these images to automatically identify features and define measurement regions, substituting human manual configuration with automated computational processing
2Productivity
If manual configuration is used for new container designs, then flexibility is maintained, but time consumption increases significantly
Solution Approach 1:
The system automatically adapts to new container designs by detecting features and determining pose from captured images. The computer system autonomously configures regions of interest for each new container type without requiring operator reconfiguration, significantly reducing setup time while maintaining adaptability to different designs
Solution Approach 2:
The system performs preliminary automated analysis of container features and pose before measurement begins. By pre-identifying container features and automatically configuring measurement regions in advance, the system eliminates time-consuming manual setup procedures for each new container design
3Measurement precision
If automated vision-based system is implemented, then measurement accuracy improves, but system complexity increases
Solution Approach 1:
The patent replaces complex manual measurement systems with an automated vision-based system. The detector and computer system work together to automatically capture images, identify features, determine container pose, and define measurement regions, simplifying the overall process despite the sophisticated technology involved
Solution Approach 2:
The system creates a digital representation of the container by capturing images and automatically identifying features. This digital model is then used to define measurement regions and perform dimensional analysis, replacing the need for complex physical measurement setups
Data Source
AI summary
A system and method for autonomously defining regions of interest for a container are provided. The system comprises a platform for supporting the container, a detector for capturing feature data of the container while on the platform, and a computer system. The computer system is in communication with the detector and platform. The computer system is programmed to locate features of the container from the captured feature data, and define the regions of interest for the container based on the located features.