AI Defect Detection & Inspection System
AI Defect Detection & Inspection System
Computer Vision • Deep Learning • Automation Pipeline
Computer Vision • Deep Learning • Automation Pipeline
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Project Overview
Project Overview
This project delivers a complete AI solution for detecting structural defects in building façades. The client needed a reliable system to replace manual inspections, reduce processing time and improve documentation quality. The final model achieved over 95% accuracy, enabling fast and consistent defect identification across thousands of images.
Business Problem
Business Problem
Traditional façade inspections were slow, inconsistent and required manual review of large image sets. The client needed an automated pipeline capable of organizing data, detecting multiple defect types and generating standardized reports for engineering teams.
AI Solution
AI Solution
The project provides an end to end workflow: dataset preparation, YOLO based model training and a Windows desktop application for uploading images, previewing detections, editing results and exporting automatic Word reports. The system delivers high accuracy, improved productivity and fully traceable inspection documentation.
Project Milestones
Project Milestones
Dataset Preparation & Annotation
Dataset Preparation & Annotation
Creation of a clean, balanced and fully annotated dataset for the five defect categories. Includes data review, normalization, image standardization, manual labeling of ~1,000 images, YOLO/COCO file generation and train/val/test split.
Model Training & Evaluation
Model Training & Evaluation
Training a custom YOLO model on the annotated dataset to detect and classify structural defects. Includes preprocessing, hyperparameter tuning, performance evaluation and sample predictions. Deliverable: model weights, metrics report and training scripts.
Desktop App, Fine Tuning & Word Report Generator
Desktop App, Fine Tuning & Word Report Generator
Fine tuning the model with additional images and integrating it into a Windows desktop application. The app allows image upload, detection preview, editing and automatic Word report generation. Deliverable: optimized model, full .exe app and documentation.
Final Results
Final Results
The project delivers a complete, production ready AI inspection pipeline capable of processing large volumes of façade images with over 95% detection accuracy. The client now benefits from faster inspections, consistent defect classification and fully automated reporting.
Impact
Impact
• Significant reduction in manual review time
• Standardized documentation for engineering teams
• Higher reliability and repeatability compared to human inspection
• Scalable system ready for future expansion and new defect categories
⭐ Client Reviews
⭐ Client Reviews
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