Optimized image analysis with computer vision and supervised active learning
Leverage supervised active learning with computer vision for real-time, optimized image analysis in manufacturing. This approach combines computer vision and ML inputs for continuous improvement, aiming to match gold standard test accuracy.
Overview
This innovative approach utilizes supervised active learning combined with computer vision techniques to enhance image analysis in real-time manufacturing environments. By integrating computer vision inputs with machine learning models, this solution enables continuous learning and improved decision-making processes that aim to match the accuracy of gold standard tests.
Technical specifications
Key features:
- Utilizes computer vision and NIR (Near-Infrared) imaging to analyze additively manufactured objects.
- Employs a convolutional neural network to identify trends and analyze images with the assistance of human input for supervised learning.
- Capable of autonomous data analysis and annotation, enhancing the ML model with additional NIR data for more comprehensive insights.
- Measures the effect of supervision frequency on ML model accuracy.
Technology readiness level
Currently at Technology Readiness Level 2, this technology involves active research and development stages. Initial experiments have validated the use of computer vision and NIR imaging, with further validation planned using existing datasets and the OSU supercomputer for computational support.
About Oregon State University
Oregon State University is a comprehensive public research university and Oregon’s land‑grant institution, with a main campus in Corvallis and a statewide footprint. Industry partners tap a statewide Extension network and county offices to pilot and scale solutions with communities and companies across Oregon. A coastal marine science campus in Newport anchors ocean research and provides access to open‑ocean wave‑energy test ranges and grid‑connected infrastructure under development nearby, enabling sea‑to‑shore prototyping. Field stations and university‑managed research forests support long‑term trials and product validation in real‑world environments. A dedicated technology transfer office and the OSU Advantage programs—including the Advantage Accelerator—streamline IP, licensing, startup formation, and industry agreements.
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