Foam Board Vision Inspection for Real-Time Process Control
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Solution Overview
Problem
Conventional methods for manufacturing foam boards are labor-intensive and prone to operator error, leading to incomplete assessments of board appearance and integrity, with limited measurement locations and slow, resource-intensive processes that often fail to provide a complete evaluation of the board's characteristics.
Innovation Solution
A system that includes sensors to measure characteristics of the foam board and constituent parts, with a control circuitry that compares these measurements to thresholds and adjusts operating parameters in real-time to ensure optimal manufacturing conditions, employing technologies like laser scanners, optical imaging, and thermal imaging to monitor fluid application and board quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection methods are used to identify defects in foam boards, then operators can assess board appearance and integrity, but the process becomes labor-intensive, slow, and prone to operator error with limited measurement locations
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated optical inspection system that uses cameras and image processing algorithms to detect defects. The system captures images of the foam board surface and uses computer vision techniques to identify defects automatically, eliminating the need for manual visual inspection while improving both accuracy and speed.
Solution Approach 2:
The patent introduces an intermediary computational system that processes images between the camera and the final defect identification. This intermediary layer uses image processing algorithms to enhance image quality, filter noise, and automatically detect defects, serving as a mediator that transforms raw visual data into actionable quality assessment results.
2Ease of manufacture
If conventional manufacturing techniques are used to reduce costs, then production expenses decrease, but the fine cell structure and overall quality of the foam board deteriorate
Solution Approach 1:
The patent implements a feedback loop where the optical inspection system continuously monitors the foam board manufacturing process and provides real-time quality data. This feedback enables automatic adjustment of manufacturing parameters to maintain optimal cell structure quality while managing production costs, allowing the system to detect and correct quality deviations as they occur during production.
3Productivity
If limited measurement locations are used during manufacturing, then the inspection process becomes faster and less resource-intensive, but the assessment of board appearance and integrity becomes incomplete
Solution Approach 1:
The patent employs a universal optical inspection system that can simultaneously perform multiple measurement functions across the entire foam board surface. The system captures comprehensive images that enable detection of various defect types including surface imperfections, dimensional variations, and structural anomalies, providing complete quality assessment in a single inspection pass rather than requiring multiple localized measurements.
Data Source
AI summary
Methods and systems for manufacturing a foam board system are disclosed. In some examples, a system includes an applicator to distribute one or more fluids onto a substrate. One or more sensors configured to measure one or more characteristics of the one or more fluids. A control circuitry is configured to compare the one or more measured characteristics to one or more threshold characteristics, and to adjust one or more operating parameters of the system in response to a characteristic of the one or more measured characteristics falling outside a threshold of the one or more threshold characteristics.