Team Members

Mohamed Mahmoud

Team Leader

Ahmed Mostafa

Team Member

Mohamed Saed

Team Member

Adham Mohamed

Team Member


Prof. Alaa Hamdy


Eng. Hager Sobeah

Teaching Assistant

Eng. Mahmoud ElSahhar

Teaching Assistant


Concrete pillars are designed to withstand different environmental conditions like earthquakes and to carry tons of loads. Buildings have multiple reinforced concrete columns to carry them and protect them. but, if one of them got damaged, the whole building would lose its integrity causing the building to fall apart costing lives and wasting huge amounts of money. The main idea of the project is identifying defects in concrete by scanning the pillars of the building where the defects like (voids or fractures) might exist or not, to do so we would need to scan the inside of the concrete to acquire these defects that are why engineers and users use the GPR (Ground penetration radar) in the collecting of the images because these defects are impeded within the concrete, after the acquiring phase then the user or the engineer will use his prediction to determine the defect which has a high human error factor because it`s only based over the experience of the user which higher the risk factor even more. Image processing and deep learning techniques will be used to detect and classify those defects according to their types using the VGG-16 algorithm.

System Objectives

1-Sate the difference between many negative classes (which aren’t concrete like walls and other mediums ) and locate the positive images (concrete).

2-Classify and detect common defects like voids, VJ(Vertical Joints), fractures and cracks in the concrete of the pillar using GPR.

3-Retrieve a report that describe the defects after scanning them and uploading them to the model.

System Scope

A web application that helps the engineers to detect buildings defects especially the building inspectors to inspect the defects at the building pillars such as voids and fractures by using a GPR (Ground Penetration Radar) of type B-image as the GPR uses radar pulses to image the subsurface, which will help in detecting the type of the defect as it will be uploaded to our website which will help in filtering the uploaded images if it is positive (There is a defect and sort it with its type) or negative(As there isn’t any defect or the image is not a concrete image) then the result will be stored in the database as there will be a report about the entered data can be reviewed at any time by the user. This application will save a huge amount of time, money spent on the experts, and effort as the result will be more accurate and efficient than the traditional methods that are provided nowadays.

Documents and Presentations


You will find here the documents and presentation for our proposal.




You will find here the documents and presentation for our SRS.




You will find here the documents and presentation for our SDD.




You will find here the documents and presentation for our Thesis






Paper Title

Dell EMC

Short Listed