DSpace Repository

Automated Building Inspection System

Show simple item record

dc.contributor.advisor . Altakrouri, Wael
dc.contributor.author Sarhna, Yara
dc.contributor.author Abu Allan, Ayat
dc.contributor.author Abu Samor, Raghad
dc.date.accessioned 2024-09-09T06:34:20Z
dc.date.available 2024-09-09T06:34:20Z
dc.date.issued 2024-07-01
dc.identifier.uri scholar.ppu.edu/handle/123456789/9131
dc.description no - pages 63, هندسة حاسوب 2/2024
dc.description.abstract This work aims to find innovative solutions to the problem of manually detecting defects or damages in building's walls that require significant resources and time. The proposed solutions aim to create an automated inspection system that can effectively and efficiently detect areas that require maintenance or repair. In terms of implementation, a mobile robot used along with ROS packages and tools to manage data from sensors and integrate different algorithms to perform analysis and inspections. It will incorporate machine learning algorithms to analyze the input images from the camera and identify any cracks or structural defects. The automated inspection system's data and results can be accessed remotely, providing a comprehensive report with detailed information about their building's condition. The solution aims to enhance building safety, improve maintenance, and prevent long-term damage to the structure. Keywords: ROS, mobile robot, defects finding, reports, 2D map, Localization, Navigation, SLAM. en_US
dc.language.iso en en_US
dc.publisher جامعة بوليتكنك فلسطين - هندسة حاسوب en_US
dc.subject Automated Inspection Systems en_US
dc.title Automated Building Inspection System en_US
dc.type Other en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account