Final Year Projects (FYPs) - Undergraduates

Permanent URI for this collectionhttps://repository.cuilahore.edu.pk/handle/123456789/37

This collection archives the complete set of theses produced by students of the COMSATS University Islamabad, Lahore Campus.

Browse

Search Results

Now showing 1 - 2 of 2
  • Item
    Vehicle Accident Alert and Rescue Solution
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Muhammad Arslan; SP20-BSE-031; Sana Maqbool
    Traffic accidents remain a major public safety problem worldwide, causing loss of life and property. To address this critical issue, the Vehicle Accident Alert and Rescue Solution (VAARS) has been introduced as a comprehensive solution aimed at improving accident detection, alerting authorities, and accelerating rescue operations. VAARS leverages the latest technologies, including sensors, wireless communications, and data analytics, to create a robust and efficient system. When an accident occurs, VAARS uses on-board sensors to detect impact forces, vehicle orientation, and other critical parameters. This data is then processed in real-time and, if an accident is confirmed, an alert is immediately sent to emergency services and nearby vehicles, informing them of the location and severity of the incident. Important information is provided. The system's advanced functions include automatic communication with the vehicle's occupants, allowing real-time assessment of their status and needs. VAARS uses advanced artificial intelligence algorithms to analyse accident data, providing emergency services with information about potential hazards and the resources necessary for successful rescue operations. VAARS is designed to work seamlessly with existing emergency response infrastructure, ensuring a rapid and coordinated response by paramedics, police, and firefighters. Additionally, it incorporates GPS tracking and mapping capabilities, helping rescue teams reach the accident site accurately and efficiently. This report summarizes the key components of vehicle crash warning and rescue systems, highlighting their potential to reduce response times, improve crash outcomes, and contribute to safer roads. VAARS stands as an important solution in the field of road safety, offering a promising way to reduce the impact of accidents on our society.
  • Item
    Robot Task Planning using Semantic maps
    (Library Information Services, COMSATS University Islamabad, Lahore Campus., 2020-11-20) Muhammad Arslan; CIIT/SP16-BCS-136/LHR; Asmara Safdar; LHR TP 6317
    In this final year project, we are going to work on robot’s task planning. In task planning, robots plan a sequence of high-level actions to perform a given task autonomously. To perform a basic robot (e.g. such as a service robot) operation autonomously, spatial information and general knowledge (domain knowledge and meaning of the objects) about the objects is needed. Spatial information includes position and geometry of objects, a structure of space, connectivity among places and areas, and the appearance of the objects. In our work, for knowledge of the objects, we focus on the use of semantic knowledge which is integrated with the spatial information by semantic maps. Use of semantic knowledge can improve efficiency to perform certain tasks, we are using specific environment for our robot, in which the task planning will be done by the robot.
2025 @ COMSATS University Islamabad, Lahore Campus. All rights reserved.