Muhammad Abbad

Academic

Career

Verbatim text

SceneGen 
 
An AI based thermal imaging system in which we have imported real time maps in unity and we are 
doing simulation. It’s an application in which user can select different terrains, targets and the 
simulation works when the rocket hits the target object. In this application the user can select the 
speed of simulation and IR images. Basically the need of this application is to create the dataset 
from different views and different angles and after creating the dataset, and object detection 
model is trained using YOLO V5. After training the model, it will be tested in NESCOM using real time 
simulators. 
Features include: 
- 
Customizing/Selecting the terrain 
- 
Selecting the target 
- 
Applying IR effects 
- 
Performing the simulation 
- 
Collecting dataset 
- 
Training Object detection model 
Performing real time target detection 
 
 
 
 
 
 
 
 
 
Technology Used: 
C#, Unity3D, Photoshop, 3Dsmax, Python, 
 OpenCV, Pytorch   
Supervisor Name: 
Dr. Hammad Majeed 
Group Members:   
Shabih Ul Hassan (I18 - 0640) 
Muhammad Abbad (I18 - 0471) 
Hamza Amin (I18 - 0550)