Profiles Department of Electrical Engineering 194 | P a g e www.ist.edu.pk Class of 2021 Message from the Head of Department Department of Electrical Engineering is one of the most active and productive departments at IST. We pride in having the most vibrant faculty and well- groomed multidimensional students driven by self- motivation and quest to continuously improve. We already have a well- established degree program in Electrical Engineering and from Fall 2020, the department has also started the degree program in Computer Science which has now become one of the most sought-after and premier career choice world-wide. Our department offers one of the field’s strongest instructional and research program driven in part by the industry. We have very strong linkages with both public sector as well private sector industry that results in meaningful projects and research. Our graduates have got jobs in big international companies like CERN, AirBus, Huawei, Eltek etc. and almost all renowned national firms including defense sector. Our graduates have won competitive MS/PhD scholarships in world's top schools including Columbia USA, BYU USA, RWTH Aachen Germany, York Canada, Cambridge UK, NTNU Norway and Monash Australia to name a few. I have always got very positive feedback from employers as well as foreign professors about our graduates and that always makes me and our faculty very happy. Unlike most other disciplines, career opportunities in Electrical Engineering and Computer Science are endless as graduates can work anywhere from startups to big tech firms and government agencies. With the world's focus on miniaturized electronics coupled with computer vision & artificial intelligence, both degree programs offered at department of electrical engineering at IST will prepare you for a bright future. Dr. Khurram Khurshid Project Supervisors Institute of Space Technology P a g e | 195 Profiles Projects List – Department of Electrical Engineering Sr # Project Page 1 Computer Vision based Parts Inspection Machine 197 2 Smart roller curtains 200 3 IoT based system for remote health monitoring 203 4 Vehicle management system for organizations 206 5 Vehicular traffic monitoring for housing societies 209 6 Human gesture recognition using ultrasonic sensors 212 7 Design and development of EMG-based ankle foot prosthetic 215 8 IoT based driver's health monitoring system 218 9 IoT based smart walking stick 221 10 IoT based low-cost pulse oximeter 224 11 Under water wireless communication through visible light 227 12 Design and implementation of wireless audio transceiver using visible light 230 communication 13 Machine Learning based potholes detection 233 14 Home automation with voice 236 15 Hovercraft 239 16 Smart gate 242 17 Non-contact thermometer 245 18 Android controlled pick and place robot 248 19 Laser based conversation detection 251 20 Air quality index 253 21 IoT based agriculture monitoring system 256 22 Decentralized coalition formation algorithm and target strike mechanism For 259 UAVs 23 Smart sense switch for energy audit 262 24 Design and development of power conditioning and distribution unit for CubeSat 265 25 LoRa based sensor network to monitor large/remote areas 268 26 Solar panel design for CubeSat 271 27 Variable frequency drive for single phase induction motor 274 28 Design of electrical power system for electric vehicle 276 196 | P a g e www.ist.edu.pk Class of 2021 Computer Vision Based Parts Inspection Machine Moeez Aslam, Talha Muqbil Department of Electrical Engineering Institute of Space Technology [email protected], [email protected] The project builds on the Computer Vision field and uses a combination of hardware and software to build a system of Parts Inspection machine that can inspect a part like a drill bit and determine, with accuracy and precision, the dimensions of the part. The project includes a hardware platform with three movable cameras and a movable platform, and a software code written in Python programming language to achieve this task. A wide range of industries that manufacture mechanical parts employ some form of inspection mechanism to validate parts conformance to the desired standard. This involves inspection of dimensions as well as defects, such as improper surface finishing etc. High-end industries with high precision requirements employ sophisticated methods for inspection, such as coordinate measuring machine (CMM) or X-ray computed tomography (CT). However, there are many small or medium-sized industries that have lower precision requirements for which the use of high-end inspection equipment is not feasible. Small or medium-sized industries rely on less expensive methods for their mechanical parts inspection. The simplest method is to use Go and No-Go gauges, however, it typically requires a human operator who only checks a single dimension per gauge and thus it is inefficient and prone to human error. To devise an inspection machine that has a low cost and is suitable for use in small and medium sized industries with similar accuracy requirements for parts inspection. Three cameras are used to capture various images that expose different dimensions of the mechanical part. Back lighting is used to illuminate the part placed on the V-shaped translucent surface, which results in images with improved contrast thereby improving the measurement accuracy compared to front lighting. The software algorithm performs camera calibration to eliminate the lens distortion and preprocessing for image enhancement and noise elimination. Next, image binarization is performed to highlight the edges of the object. The desired dimensions are extracted from the image followed by pixel to physical measurement mapping. The project measures the physical dimensions of different mechanical parts using a combination of specially designed hardware and a python computer vision-based software code. Parts inspection will become far more accessible for small and medium-sized industries and there would be no need to employ sophisticated methods for inspection. Specialized Tools: Design surface for object placement, Complementary Metal Oxide Semiconductor Cameras, Python Programming Language Interpreters PyCharm and Anaconda. Project Supervisor: Dr. Moazzam Maqsood Institute of Space Technology P a g e | 197 Graduate Book ClassProfiles of 2021 Moeez Aslam Personal Information Email [email protected] Cell +923147208081 Address House # 885-E, Gali # 43, G-10/4, Islamabad Education Dates 2017-2021 Degree Title Electrical Engineering Final Year Project Computer Vision based Parts Inspection Machine Dates 2015-2017 Certificate Title HSSC Institute Punjab College Internship Experience Dates 15 May, 2020 – 7 August, 2020 Main Activities and Data Tracking and Maintenance Responsibilities Organization Orbit Services and Consultants, Islamabad Skills & Competencies Anaconda (Python), Proteus, OrCAD Capture (PSpice), MATLAB, Technical skills Visual Studio (C++), ModelSim (Verilog) Computer skills Microsoft Office, Avidemux, Adobe Photoshop Managerial skills Planning, Communication, Delegation Social skills Conflict Resolution, Teamwork, Active Listening Artistic skills Painting, Drawing, Writing, Sculpting Training & Workshops GDG DevFest 2019 CheckPoint Jump Start: Network Security 2021 Awards & Honors Elements of AI, University of Helsinki Programming for Everybody, University of Michigan 198 | P a g e www.ist.edu.pk Graduate Book ClassClass of 2021 of 202 1 Muhammad Talha Muqbil Personal Information Email [email protected] Cell 03417805911 Address House No. 40, Street R, Block Y, New Satellite Town, Sargodha Education Dates 2017-2021 Degree Title Electrical Engineering Final Year Project Computer Vision Based Parts Inspection Machine Dates 2013-2015 Certificate Title HSSC(Pre-Engineering) Institute Punjab College Of Information Technology, Sargodha Internship Experience Dates 28th August, 2020 - 5th October, 2020 Performed power monitoring tasks and project based activities Main Activities and accompanying indemnity team under supervision using defined Responsibilities standard procedures Organization FESCO WAPDA Skills & Competencies Circuit Designing, Data Analysis, Technical Writing, Software Proficiency (MATLAB, ARDUINO, Proteus, ModelSim, NI Technical skills Multisim, OrCAD PSpice, Visual Studio, Anaconda, Packet Tracer, Cadence Virtuoso), Programming (Verilog, C++, Python). Computer skills Microsoft Office (Word, Power Point, Excel). Conceptual skill, Analytical skill, Interpersonal and Communication Managerial skills skill, Decision-Making skill, Event Management skill. Teamwork, Effective Communication, Active listening, Conflict Social skills resolution. Artistic skills Photo-Editing, Graphic Designing. Training & Workshops IOT APES Workshop conducted by IEEE, October-2019 Graphic Designing, DigiSkills, April 2019-June 2019 Free Lancing, DigiSkills, April 2019-June 2019 Awards & Honors Microsoft Office Specialist (MOS) certification, December-2018 Certificate of Acknowledgement- WSW, October-2018 Certificate of Acknowledgement- IYC, March-2019 Institute of Space Technology P a g e | 199 Graduate Book Class ofProfiles 2021 Smart Roller Curtains Muhammad Aqib Ijaz, Muhammad Arsalan Department of Electrical Engineering Institute of Space Technology [email protected], [email protected] Abstract: Smart Roller Curtains are the major application of smart home automation. There is a lot of work done on home automation. Most of the smart curtains available in the market