Browsing by Author "FA20-BCS-087"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Sentinel: Smart Surveillance System with Automated Anomaly Detection
    (Library Information Services, CUI Lahore, 2022) Hammad Ali; FA20-BCS-087; Dr. Usama Ijaz Bajwa
    This project addresses the critical need for efficient and real-time anomaly detection in surveillance systems, considering the widespread deployment of surveillance cameras in diverse environments. Traditional server-based approaches pose challenges related to cost, network strain, and responsiveness. Leveraging edge computing and deep learning, our project aims to develop a cost- effective solution. Success criteria involve achieving state-of-the-art accuracy, real-time inference and streaming, and seamless integration with existing networks. Our goal is to explore existing solutions and propose an architecture that optimizes model performance on edge devices while