Browsing by Author "Dr Wajahat M. Qazi"

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    Asset Fractionalization
    (Library Information Services, CUI Lahore, 2024) MINAL NAZIR; FA20-BCS-071; Dr Wajahat M. Qazi
    With the cost of living skyrocketing and untrust in financial mechanisms because of one scam after another, for citizens to lay their hands on high valued entity/instrument became a mission impossible. This diminished economic growth, job creation, and less innovation. To solve these problems, the Asset Fractionalization Project redefines accessibility and traceability by fragmentation of physical assets such as real estate, fine art, commodities (e.g., gold), fleets, etc into smaller tradeable units. Thus, investing with small sums and gaining profit from high-value assets will help make it happen. The project's second goal is to implement a framework where investments in fractionalized assets are safe and regulated, where all parties involved — including investors — do not run into fraud or other dangers. Projects like Asset Fractionalization have the potential to revolutionize Pakistan’s financial ecosystem, making it more inclusive and reachable for everyone.
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    Smart Parking System
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Taha Hadayat , Ahmad Hassan Butt , Muhammad Hasan; FA17-BSE-046 , FA17-BSE-034 , FA17-BSE-085; Dr Wajahat M. Qazi; LHR TP 7047
    Smart Parking System (SPS) is used in automating the parking of vehicles. It provides the solution in which the step to run an efficient parking system. The rapid increase in the number of vehicles maximizes the challenges for parking authorities and due to which people find it is tough to locate an empty slot in a parking area, and it takes too much time as well, thus waiting time for the user will be minimized. The system includes various techniques, image processing is one of those which comprises various modules (car detection, number plate segmentation). After the image is taken, techniques such as image enhancement/partitioning and character identification will be used for getting the vehicle’s registration number. Then, details will be fetched on the smart ticket as well as stored in the database. The Internet of Things (IoT) uses sensors to collect data and provide users useful information. Machine Learning and Deep Learning algorithms will be used for the processing of data. By using Computer vision, the system will detect the vehicle and fetch its information (License Plate Number, Parking Slot Number, Entry Time) and if the car is not parked in an allocated slot, an alert will be generated. A web/mobile application will be used to book the slot online.