首页|New Artificial Intelligence Study Findings Have Been Reported by Investigators a t Indian Institute of Technology (IIT) Bhubaneswar (Artificial Intelligence-base d Visual Inspection System for Structural Health Monitoring of Cultural Heritage )

New Artificial Intelligence Study Findings Have Been Reported by Investigators a t Indian Institute of Technology (IIT) Bhubaneswar (Artificial Intelligence-base d Visual Inspection System for Structural Health Monitoring of Cultural Heritage )

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intell igence are discussed in a new report. According to news reporting originating in Odisha, India, by NewsRx journalists, research stated, “The United Nations aims to preserve, evaluate, and conserve cultural heritage (CH) structures as part o f sustainable development. The design life expectancy of many CH structures is s lowly approaching its end.” The news reporters obtained a quote from the research from the Indian Institute of Technology (IIT) Bhubaneswar, “It is thus imperative to conduct frequent visu al inspections of CH structures following conservation guidelines to ensure thei r structural integrity. This study implements a custom defect detection, and loc alization supervised deep learning model based on the you only look once (YOLO) v5 real-time object detection algorithm by implementing a case study of the Dadi -Poti tombs in Hauz Khas Village, New Delhi. The custom YOLOv5 model is trained to automatically detect four defects, namely, discoloration, exposed bricks, cra cks, and spalling, and tested on a dataset comprising 10291 images. The validity and performance of the custom YOLOv5 model are compared with a ResNet 101 archi tecture-based faster region-based convolutional neural network (R-CNN), and conv entional manual visual inspection methods are used to convey the significance of the developed artificial intelligence-based model.”

OdishaIndiaAsiaArtificial Intellig enceEmerging TechnologiesMachine LearningIndian Institute of Technology (I IT) Bhubaneswar

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.28)