Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
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Jun 1, 2022 - Python
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industry-automation
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This project automates paper defect localization in industrial quality control using feature extraction and machine learning. Techniques include HOG, Gabor filters, Canny edge detection, and Wavelet Transform with SVMs, CNNs, and ensemble learning. It aims to reduce manual inspection, improving efficiency and reliability in defect detection.
machine-learning computer-vision feature-selection feature-extraction image-classification feature-engineering classification-model surface-detection industry-automation paper-defect
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Sep 4, 2025
Systematic methodology for building multi-agent workflow orchestration across industries. Domain Model -> Agent Graph -> Workflow Orchestration.
multi-agent methodology workflow-orchestration domain-modeling ai-agent industry-automation agent-orchestration cross-industry dag-workflow srao-framework
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Jun 22, 2026
AI-powered industrial product quality inspection application for defect detection using Computer Vision and Gradient Boosting
python opencv aws machine-learning quality-control computer-vision scikit-learn image-classification manufacturing gradient-boosting anomaly-detection edge-computing digital-transformation defect-detection streamlit industry-automation
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Mar 24, 2026 - HTML
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