Automation of construction project progress monitoring

Project description

Automation in construction progress monitoring helps improve the accuracy, efficiency, and overall management of construction projects, leading to better outcomes and more successful project completions. Construction projects are usually inspected manually which has been criticised for human error, inconsistency, time consuming, limited coverage, subjectivity, safety issues, and challenges in documentation. Thus, this project aims to develop a system for automating the monitoring of construction projects with the use of Unmanned Aerial Systems (UAS). Data in the form of images/ videos/ GIS coordinates will be collected from the UASs and will be processed using tools of photogrammetry and Artificial intelligence to determine the progress of the project and inspect the constructed members. Firstly, an annotated data set will be generated which will then be used to train the classification models which detect several members of a construction project. Based on the classification, segmentation analysis will be performed to identify the different elements of a project. With the applications of UAS, images/videos will be collected which will be processed using the above-developed segmentation tools to determine the percentage completion of all members. An interface will be generated which will be user-friendly so that a project manager can monitor the progress of the project from a distant office. The developed scheme will also be extended to the identification and quantification of the defects in the project.

Outcomes

Data sets for training networks used for construction project inspection and progress monitoring.
Development of a DL model which helps to classify the different elements of a project
Development of a UAS to collect images and videos required to construction project inspection
Development of an interface which helps to automate the construction progress monitoring using images and videos collected from an UAS.

Essential capabilities

Programmer using tools of artificial intelligence, especially neural networks; Image processing

Desireable capabilities

Work with tools using GIS, photogramtery, license to fly UAVs

Expected qualifications (Course/Degrees etc.)

Masters in engineering with a major in either civil engineering, architetcture, artificial intelligence, construction management, remote sensing.