Bare PCB defect detection using Image Subtraction technique, implemented with OpenCV in Python.
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Sep 6, 2022 - Jupyter Notebook
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pcb-defect-detection
Here are 9 public repositories matching this topic...
An end-to-end deep learning system for automated PCB defect detection that combines computer vision with domain expertise. This project demonstrates the practical application of AI in industrial quality control, achieving 91.2% F1-score on multi-label defect classification.
python opencv machine-learning quality-control computer-vision deep-learning jupyter-notebook cnn pytorch image-classification resnet transfer-learning multi-label-classification defect-detection industrial-ai pcb-defect-detection
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Oct 14, 2025 - Jupyter Notebook
An industrial-grade automated optical inspection (AOI) system for Printed Circuit Boards (PCBs). Features a computer vision pipeline for precise defect localization, a fine-tuned EfficientNetB0 model achieving 97.8% classification accuracy, and a full-stack Streamlit dashboard with real-time analytics, batch processing, and automated PDF reporting.
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Jan 20, 2026 - HTML
Modelling & Training for a AI-Driven PCB Fault Detection project.
python machine-learning pcb kaggle dataset yolo object-detection data-preprocessing pascal-voc model-evaluation data-aggregation model-training dataset-aggregation yolo-dataset ultralytics yolo-data-preprocessing pcb-defect-detection pcb-components image-slicing yolov11
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Oct 23, 2025 - Jupyter Notebook
A Flutter UI for AI-Driven PCB Fault Detection, with Rust+Ort used for the ML inference on edge.
windows rust machine-learning ai material-ui pcb yolo object-detection ort flutter rayon onnx flutter-windows onnx-models pcb-defect-detection rust-image flutter-rust-bridge flutter-rust pcb-components yolov11
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Sep 10, 2025 - Dart
PCB Defect Detector is a web application designed to analyze and detect defects in printed circuit boards (PCBs). The application leverages modern web technologies and tools to provide an intuitive interface for uploading, analyzing, and visualizing PCB defects. It also includes batch processing, dashboard analytics, and explainable AI insights.
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Dec 15, 2025 - TypeScript
This repository contains the code and resources for a PCB defect detection project. The project uses YOLO and other comparative models to detect and classify PCB defects, along with improvements to the dataset for achieving better results.
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Apr 29, 2025 - Python
YOLOv8x-HICAUps integrates a HorNet backbone, Convolutional Block Attention Module (CBAM), and attention-based up-sampling to improve feature extraction, feature fusion, and small-object detection accuracy while maintaining computational efficiency.
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Feb 6, 2026 - Jupyter Notebook
🛠️ Detect and classify PCB defects automatically using YOLO11 for efficient quality control and enhanced manufacturing processes.
opencv computer-vision detection cuda pcb jupyter-notebook image-processing pyhton convolutional-neural-networks object-detection deepstream defect image-subtraction streamlit pcb-defect-detection snowflake-certified
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Feb 13, 2026 - Python
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