چکیده مقاله
This paper presents a novel framework for sustainable construction monitoring using advanced computer vision and artificial intelligence AI techniques The proposed approach integrates drone based imagery, YOLOv8 real time detection, and Vision Transformers ViT to analyze construction site activities with respect to sustainability metrics Experimental results demonstrate significant improvements in detection accuracy, carbon emission estimation, and compliance verification compared to traditional manual inspection methods
کلیدواژهها
نویسندگان
Mohammadreza Mirshekar
Department of Computer Engineering, Zah C, Islamic Azad University, Zahedan, Iran
Ashkan Delarami Zadeh Moghaddam
Computer Engineering Department, Zah C, Islamic Azad University, Zahedan, Iran
شیوه ارجاع
Mirshekar, Mohammadreza and Delarami Zadeh Moghaddam, Ashkan,1404,Computer Vision and Artificial Intelligence for Sustainable Construction Monitoring,Third International Conference on applied researches in civil engineering, architecture and urban planning
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی پژوهش های کاربردی در مهندسی عمران، معماری و شهرسازی30 آبان 1404