Industrial Defect Detection ML Frameworks
End-to-end computer vision systems for automated quality control and defect detection in manufacturing (PCBs, fabrics, steel, etc.). Includes model training, inference pipelines, and production dashboards. Does NOT include general object detection frameworks, non-manufacturing inspection use cases, or standalone ML models without industrial application context.
There are 65 industrial defect detection frameworks tracked. The highest-rated is RajdeepBiswas/Manufacturing-Quality-Inspection at 45/100 with 83 stars.
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
RajdeepBiswas/Manufacturing-Quality-Inspection
I have built the computer vision models in 3 different ways addressing... |
|
Emerging |
| 2 |
huangyebiaoke/steel-pipe-weld-defect-detection
Deep Learning Based Steel Pipe Weld Defect Detection |
|
Emerging |
| 3 |
Elias-Arbash/PCBVision
A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards |
|
Emerging |
| 4 |
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of... |
|
Emerging |
| 5 |
utkarsh-ankit/Defect-Detection-of-PCB
A repository for creating a Deep Learning model for Defect Detection in PCBs... |
|
Emerging |
| 6 |
khornlund/severstal-steel-defect-detection
Kaggle Segmentation Challenge |
|
Emerging |
| 7 |
kannanjayachandran/Wafers-Fault-Detection
End to end machine learning project for accurately detecting faults in... |
|
Emerging |
| 8 |
PanithanS/Defect-Prediction-in-Semiconductor-Lithography
Lithography defect prediction for microchip manufacturing optimization with... |
|
Emerging |
| 9 |
poboll/resnet-defect-detection
基于 ResNet18 的工业零件表面缺陷智能检测系统,验证集准确率达到 98.33% |
|
Emerging |
| 10 |
siddhartamukherjee/NEU-DET-Steel-Surface-Defect-Detection
This project is about detecting defects on steel surface using Unet. The... |
|
Emerging |
| 11 |
assalas/pcb-designer-ai-agent
🤖 Intelligent AI-powered PCB design automation tool using machine learning... |
|
Emerging |
| 12 |
iterative/magnetic-tiles-defect
Demo Computer Vision Project |
|
Emerging |
| 13 |
matlab-deep-learning/pillQC
A pill quality control dataset and associated anomaly detection example |
|
Emerging |
| 14 |
pirazor/AI-Assisted-Inspection
AI Assisted Infrastructure Inspection using Mixed Reality |
|
Emerging |
| 15 |
johnwslee/injection_molding_analysis
Defect Classification in Injection Molding Using Machine Learning |
|
Emerging |
| 16 |
alexjercan/bug-detection
Bug detection and repair algorithm |
|
Emerging |
| 17 |
NeroHin/defect-detection-and-segment-deep-learning
Detection and Segmentation in Powder Spreading Process of Magnetic Material... |
|
Emerging |
| 18 |
Davidlequnchen/LDED-FusionNet
LDED-FusionNet: Machine Learning-Based Audio-Visual Defect Detection for... |
|
Emerging |
| 19 |
TheAyushB/Manufacturing-Defects
This project aims to automatically detect surface defects in Hot-Rolled... |
|
Emerging |
| 20 |
aryan-programmer/pcb-fault-detection
Modelling & Training for a AI-Driven PCB Fault Detection project. |
|
Experimental |
| 21 |
Mattjesc/DDO-Semiconductor
Data-Driven Optimization of Semiconductor Processes and Forecasting |
|
Experimental |
| 22 |
aliivaezii/weld-anomaly-classifier
WeldFusionNet: Multimodal deep learning for automated weld defect... |
|
Experimental |
| 23 |
PanagiotaGr/wafer-fault-detection-with-ml
Semiconductor wafer defect classification using classical machine learning... |
|
Experimental |
| 24 |
HuzaifaKhaan/AI-Powered-Fabric-Defect-Detection-System
Fabrico is an advanced fabric defect detection system designed to identify... |
|
Experimental |
| 25 |
dhushanthan-s/Metal-Flaw-Detecta
Defect detection on metal shaft surfaces using Convolutional Neural Network |
|
Experimental |
| 26 |
fardinhossain007/pcb-defect-detection
An end-to-end deep learning system for automated PCB defect detection that... |
|
Experimental |
| 27 |
EasyGerber/pcb-dataset-lite
Open collection of PCB designs normalized for AI training and research |
|
Experimental |
| 28 |
wilfried-mbeumi/AeroScan-AI-v2.0
Détection de défauts sur surfaces métalliques aéronautiques — PyTorch... |
|
Experimental |
| 29 |
LozanoLsa/Visual_Defects_Are_Not_Random
[2] What if quality failures followed a pattern - and you could read it? |
|
Experimental |
| 30 |
virbahu/ai-quality-inspector
AI-based quality inspection scoring with defect classification |
|
Experimental |
| 31 |
SimonThomine/IndustrialTextileDataset
Introduction of new dataset for unsupervised fabric defect detection |
|
Experimental |
| 32 |
ronit1706/inspetto
An automated quality control system for manufacturing faults, built using... |
|
Experimental |
| 33 |
circumflex3105/Casting-Defect-Detection
This project uses an industrial casting product image dataset to train a... |
|
Experimental |
| 34 |
Yashodatta15/Metal_casting_product_image_classification_for_quality_inspection
This project aims to automate defect detection in the casting process using... |
|
Experimental |
| 35 |
Aaron-Chang-AC/AIdea-Defect-Classifications-of-AOI
A Multi-input Fine-tuned Model for Automated Optical Inspection. |
|
Experimental |
| 36 |
kravenvijay04/ConveyorBelt_Fault_Detection
The project uses computer vision, ultrasonic sensors, and machine learning... |
|
Experimental |
| 37 |
arunsinghbabal/Automated-Defective-Substrate-Identification-for-Expedited-Manufacturing
Identifies the faulty wafer before it can be used for the fabrication of... |
|
Experimental |
| 38 |
NUSSETO/Semiconductor_Project
Wafer Map Defect Classification using Deep Convolutional Neural Networks... |
|
Experimental |
| 39 |
emreefeyuksel/Textile-Surface-Defect-Detection
Automated surface defect detection system for textiles using a hybrid... |
|
Experimental |
| 40 |
astromanu007/PCB_Anomaly_Detection
This repository contains the implementation of an advanced machine learning... |
|
Experimental |
| 41 |
sushmasai1704-web/PCB-Fault-Classifier
ML-based PCB fault detection — classifies 5 power rail fault types from... |
|
Experimental |
| 42 |
Mhadevphad/Neural-Network-Classification-Casting-Defect-Detection
🛠️ Detect casting defects using neural networks with this Python... |
|
Experimental |
| 43 |
BJEnrik/deep-learning-proactive-quality-control
This project aims to develop an innovative anomaly detection system using... |
|
Experimental |
| 44 |
ctkqiang/TongXinZhiZhou
铜心织宙是一个先进的 PCB(印刷电路板)分析系统,能够自动识别电路板上的元件、引脚和铜层走线,并生成可视化的原理图。 |
|
Experimental |
| 45 |
MikkoDT/Machine_Vision_System_for_Inspecting_Weld_Quality_on_Stainless_Steel
ML_and_NN_1stProject |
|
Experimental |
| 46 |
wasmiester/CapsuleGuard_AI
Computer vision system that detects capsules in a camera frame and... |
|
Experimental |
| 47 |
andreabazerla/anomaly-detection
Anomaly Detection on a image dataset of glass bottle using CNN architecture... |
|
Experimental |
| 48 |
ShamyukthaJothiram/PCB-Defect-Detection-and-Classification
This project implements an automated bare PCB defect detection and... |
|
Experimental |
| 49 |
Tomster-1/Neural-Network-Classification-Casting-Defect-Detection
Python code extracted from a Jupyter notebook academic submission, covering... |
|
Experimental |
| 50 |
AlexHuc/coffee-quality-inspection-vision
Deep learning–based computer vision pipeline for automated green coffee bean... |
|
Experimental |
| 51 |
Fred00000/DeepDefect-CV
🔍 Detect surface defects in industrial steel using explainable deep learning... |
|
Experimental |
| 52 |
fangvv/RTFD-Dataset
Images to Classify Defective and Non-Defective Railway Track |
|
Experimental |
| 53 |
hajimoo/ai-defect-detection-db
製造業向け欠陥検出AIシステムのためのデータベース設計(推論結果管理、ログ追跡、品質改善、再学習データ管理を含む) |
|
Experimental |
| 54 |
hajimoo/defect-detection-api
FastAPI を用いた CNN 欠陥検出モデルの推論用 REST API バックエンド |
|
Experimental |
| 55 |
ANISH-2814/InnoVision
⚙️ InnoVision – An 🤖 AI-powered industrial quality assurance system using... |
|
Experimental |
| 56 |
shivkhurana/cnn-defect-detection
Automated visual inspection system using Convolutional Neural Networks (CNN)... |
|
Experimental |
| 57 |
isaacyanney/confidence-aware-visual-inspection
Confidence-aware visual inspection system using synthetic defect generation,... |
|
Experimental |
| 58 |
MikiTwenty/bottles-defects-analysis
University Project |
|
Experimental |
| 59 |
EmreMutlu99/Digital-Image-Fault-Detection
This repository contains a supervised deep-learning demo for pixel-level... |
|
Experimental |
| 60 |
hafizqaim/Manufacturing-Defect-Detection-System-using-ResNet-50
A complete pipeline for manufacturing defect detection using PyTorch,... |
|
Experimental |
| 61 |
ramy-ibrahim-ahmed/Automated-casting-defect-detection
ResNet and Inception architectures with Torch for Quality Control. |
|
Experimental |
| 62 |
JNewman-cell/WaferMapNeuralNetworkClassification
This is a neural network designed to classify wafer imperfections without... |
|
Experimental |
| 63 |
lerouxl/ELO_layer_image_classification
Classify metal 3D printing montioring image and generated an HTML reports... |
|
Experimental |
| 64 |
AYUSHSURYAVANSHI/Water-Sensor-Fault-Detection-Data-Science-Project
This project delves into semiconductor wafer fabrication 🌟 and integration... |
|
Experimental |
| 65 |
AlvinTang011/Autonomous-Deep-Quality-Monitoring-in-Streaming-Environments-Challenge
This challenge will use a real-world manufacturing dataset collected from... |
|
Experimental |