Bare PCB defect detection using Image Subtraction technique, implemented with OpenCV in Python.
-
Updated
Sep 6, 2022 - Jupyter Notebook
#
pcb-defect-detection
Here are 5 public repositories matching this topic...
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
-
Updated
Jul 6, 2025 - Jupyter Notebook
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.
-
Updated
Aug 29, 2025 - TypeScript
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
-
Updated
Sep 10, 2025 - Dart
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.
-
Updated
Apr 29, 2025 - Python
Improve this page
Add a description, image, and links to the pcb-defect-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the pcb-defect-detection topic, visit your repo's landing page and select "manage topics."