Muhammad Abbad · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2022

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

C#, Unity3D, Photoshop, 3Dsmax, Python, OpenCV, Pytorch

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

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: 
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Customizing/Selecting the terrain 
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Selecting the target 
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Applying IR effects 
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Performing the simulation 
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Collecting dataset 
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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)

AI enrichment

Muhammad Abbad is a BSCS graduate who contributed to an AI-based thermal imaging simulation project using Unity and C#. The project involved creating datasets for training YOLO V5 object detection models and integrating them with real-time simulators.

Skills (AI)

["C#", "Unity3D", "Python", "OpenCV", "PyTorch", "YOLO V5", "3D Modeling", "Image Processing"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 255
Created: 1778170963