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Noor Ul Ain Arshad

FAST · 2019 · 19I-1969

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Phone

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GitHub

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Academic

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CGPA

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Year

2019

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

Python, PyTorch, OpenCV, TensorFlow, React, AWS, Colab, Visual Studio

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.

Real Soccerlytic
Real Soccerlytic, is a web application which provides live broadcast feed of the match along with continuous player locality and ball possession using AI and Computer Vision. The live analysis is undertaken to optimize performance, support the coaching process, improve player performance and help deliver tactical insights.
Features include:
• Interactive Web Application - Dashboard for our services after the user signups and logins to get the access of the features of our application.
• Camera View Classification - Classification of valid and invalid frames.
• Camera translation - Translating the perspective of the camera according to our required scenario using 3D geometry.
• Object Detection and Object Tracking - It is the process of detecting different objects for example players and ball using a deep learning model like YOLO.
• 2D Cartesian plane of Field - Creating a 2D Cartesian plane of the field using camera view classification and camera translation including player and ball localization and possession.
• Visualization of Tracked Data - Collection of different stats like heat map of the most visited areas of the field, successful and unsuccessful shots taken, and map of all passes taken.

REAL SOCCERLYTIC
Supervisor: Mr. Bilal Khalid Dar
External Supervisor: Mr. Muzaf Maqbool
Team Members:
Noor Ul Ain Arshad 19I-1969
Muhammad Zakee Qureshi 19I-1995
Ahmad Ali 19I-2170

A web application that provides textual and visual insights of soccer match using live broadcast feed to optimize team's performance.

WORK FLOW
Preprocessing → Insights → Web Application
Broadcast Feed → ML Model → Heat Map
Players Localization

TIMELINE
ITERATION 1: Player Tracking, Ball Tracking, Team Classification, Testing
ITERATION 2: Camera View Classification, Testing
ITERATION 3: Camera View Translation, Web Application, Testing
ITERATION 4: Heatmap, Shots Taken, Mapping of Passes, Testing, Web Application

TOOLS AND TECHNOLOGY
[Icons: Visual Studio, React, AWS, Python, TensorFlow, OpenCV, Colab, PyTorch]

Technology Used:
Python, PyTorch, OpenCV, TensorFlow, React, AWS, Colab, Visual Studio

Supervisor Name:
Mr. Bilal Khalid Dar

Group Members:
Ahmad Ali (i19 - 2170)
Noor Ul Ain Arshad (i19 - 1969)
Muhammad Zakee Qureshi (i19 - 1995)

AI enrichment

Noor Ul Ain Arshad is a student developer who contributed to a real-time soccer analytics web application using computer vision and deep learning. The project involved implementing object detection, tracking, and camera perspective translation to generate tactical insights and visualizations for match analysis.

Skills (AI)

["Python", "PyTorch", "TensorFlow", "OpenCV", "React", "AWS", "Computer Vision", "Object Detection", "YOLO", "Web Development", "Deep Learning"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 332
Created: 1778169248