Browsing by Author "Muhammad Faizan"

Now showing 1 - 6 of 6
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    Aquanomous guardian Advanced robot for sewerage blockage investigation.
    (UMT.Lahore, 2024) Muhammad Arshman; Muhammad Faizan; Muhammad Aaqil; Muhammad Abdullah
    Sewerage systems, a crucial component of urban infrastructure, are liable to clogs and structural damage, which can result in exorbitant maintenance costs and environmental risks. Our research offers a solution to this problem—an Autonomous Robot for Sewerage Blockage Investigation. This robot is intended to navigate sewer pipelines on its own while looking for obstructions, oddities, and structural problems. Utilizing cutting-edge technology, such as gait-based locomotion, sensor integration, visual imaging, and machine learning, forms the basis of our strategy. To modify its mobility inside the constrained and complicated sewage pipe environment, the robot uses dynamic gait selection and coordination. Real-time data from integrated sensors, such as sonar and cameras, is provided for visual inspection and obstacle recognition. Robotic decision-making is driven by Proximal Policy Optimization (PPO) algorithms, allowing for effective exploration and navigation. This FYDP places a focus on quick obstacle avoidance, fluid transitions between walking and running, harmonic limb synchronization, and accurate feedback management. Together, these components provide the robot the ability to navigate sewer lines, assuring the uninterrupted flow of sewage and minimal interruption to urban life. The results of this experiment show potential for changing sewage system maintenance by offering a self-contained, economical, and environmentally friendly method of investigating blockages. This project demonstrates the potential of robots to handle difficult urban issues, assuring a cleaner, safer, and more resilient environment for future generations as we move into an era of smart cities and intelligent infrastructure.
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    Design of an autonomous drone for the delivery of Organs utilizing WebRTC
    (UMT Lahore, 2022) Muhammad Faizan; Abdul Muqeet
    The area explored is to deliver organs from one place to another. This is a relevant topic because as soon as the organ is separated from the donor it starts to decay. Usually, when there is a significant distance between the two hospitals containing the donor and the receiver, special flights are booked along with a person to assure the safe arrival of the organ. This process is very expensive and out of reach of most people. Delivering these via drone is a very logical alternative. We approach this solution by mounting a safe container on the bottom of the drone which will have the functionality of manual and automatic functionality. Although waypoints will be set to avoid any sort of collision, lidar is mounted on the drone to move past any sort of unaccounted-for hurdle. WebRTC is implemented by using Raspberry Pi which will provide live footage of the transit with far less latency and much better performance.
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    Intelligent flying spy
    (UMT Lahore, 2022) Muhammad Shehrose Raza; Muhammad Hassaan Zahid; Muhammad Faizan; Mubashar Ilyas
    The proposed system seeks to create an autonomous quadcopter/drone using Pixhawk Flight Controller, Raspberry Pi 4, and OAK-D with some basic sensors. It will be used for any kind of survey for any area just by selecting the area on a map and the quadcopter will start doing the work by recognizing the area and start capturing images and video with camera from different locations on a specific altitude automatically. From that Video Input, we are detecting Objects, Scenes, and Depth using Deep Learning and Stereo Sensor Camera on Oak-d, that detection will be shown on the ground station and the quadcopter will automatically Follow a person or avoid any objects including Person. Afterward, the data of that area can be further used for any kind of analysis. The area will be selected using a ground station that is connected to a drone over 4g and Wi-Fi. The application for the ground station provides an effective GUI or command line interface for functionality and tells the important information like the current location of the quadcopter, errors, altitude, and battery voltage, roll and pitch angels of the quadcopter.
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    Motor Hub Application
    (UMT.Lahore, 2023) Muhammad Faizan
    The research assumes the assumption that its goal is to support high-performance, luxury, and bespoke motorcycles. A computer or mobile application that locates warehouses, stores, and garages that deal in, buy and sell motorcycle spare parts is therefore the research idea behind the study. Between high-performance motorcycle owners and dealers, the researcher has found a gap and imbalance.
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    Network infrastructure revamp INTECH process automation
    (UNIVERSITY OF MANAGEMENT AND TECHNOLOGY, 2015) Umair Tanveer; Naveed Razzaq; Muhammad Faizan; Salman Saeed
    Communication is a very critical component of a business success, especially in modern day era after the evolution of system integration approach to run business process efficiently. Communication and technology play a very vital role in the success of a business in today's world. Communication of a business depends heavily on its “Network”. The project consist of two main parts “Assessing the current network while identifying errors and problems”, and “Suggesting and implementing a solution in order to enhance network efficiency”.
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    UniGuide
    (UMT.Lahore, 2024) Shahzad Ali; Maryam Khalid; Malik Muhammad Usman; Muhammad Faizan
    The UniGuide project aims to develop an innovative and user-friendly real-time navigation system for the University of Management and Technology (UMT) campus. With the increasing size and complexity of university campuses, it often becomes challenging for students, visitors, and staff to locate departments, offices, and faculty members' workspaces efficiently. This project addresses these challenges by creating an interactive platform that provides precise navigation, shortest route suggestions, and real-time updates. The system leverages modern web technologies, including React for the frontend and Node.js with Express for the backend. Data is stored and managed in a MySQL database. Features such as an interactive map, user authentication, and the ability to customize routes ensure a seamless user experience. The project focuses on simplifying campus navigation while promoting time efficiency and enhancing overall user satisfaction. This comprehensive solution not only improves accessibility within the UMT campus but also sets a foundation for scalable and adaptable navigation systems that can be implemented in other university environments. Through this project, we aim to provide a robust, efficient, and scalable platform that redefines campus navigation.