โปสเตอร์KMITL Expo 2025Cluster 2025ป. ตรี โครงงานพิเศษ
WALL
DEFECT
DETECTION
USING
IMAGE
PROCESSING
TECHNIQUES
คณะวิศวกรรมศาสตร์, วิศวกรรมโยธา, วิศวกรรมศาสตรบัณฑิต สาขาวิชาวิศวกรรมโยธา (หลักสูตรนานาชาติ)
AI Translated
Innovation Owner
ST
Miss SUPAWAN TANAPAISARNWISETH
Student
Details
This project develops an AI-powered system for detecting and classifying wall cracks using image processing. It assesses crack severity and supports preventive maintenance to improve structural safety.
This project aims to develop an AI-powered system for detecting and classifying wall cracks using image processing. Key features include:
- Classification: Identifies different crack types.
- Assessment: Assesses crack severity.
- Robustness: Ensures accuracy across various image conditions.
- Goal: Supports preventive maintenance by enabling early detection of structural issues, reducing repair costs, and improving safety.
Objective
The objective is to develop an AI system for automated wall crack detection and classification, facilitating preventive maintenance and enhancing building safety.
The project aims to develop an AI system for detecting and classifying wall cracks using image processing, with the following objectives:
- Crack Identification: Accurately identify different types of wall cracks.
- Severity Assessment: Evaluate the severity of detected cracks.
- Environmental Adaptability: Support analysis across various image environments.
- Preventive Maintenance: Enable early detection of structural issues to reduce repair costs and enhance building safety.