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WALL DEFECT DETECTION USING IMAGE PROCESSING TECHNIQUES

Abstract

This project aims to develop an AI-powered system for detecting and classifying wall cracks using image processing. It identifies different crack types, assesses severity, and ensures accuracy across various image conditions. The goal is to support preventive maintenance by enabling early detection of structural issues, reducing repair costs, and improving safety.

Objective

รอยร้าวบนผนังอาจส่งผลต่อ ความปลอดภัยของอาคาร แต่การตรวจสอบยังต้องพึ่ง ผู้เชี่ยวชาญ โครงงานนี้จึงพัฒนา ระบบ AI เพื่อตรวจจับและจำแนก รอยร้าวอัตโนมัติ ผ่าน การประมวลผลภาพ ช่วยให้ ประเมินเบื้องต้นได้ง่าย ลดค่าใช้จ่าย และส่งเสริม การบำรุงรักษาเชิงป้องกัน

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