Lightweight surveillance systems on embedded domains

This report aims to investigate the development of a human detection machine vision algorithm that is lightweight and optimized for resource-constrained embedded systems. Pre-trained lightweight models as a base to implement real-time human detection on the Himax WE-I plus board as the testbed. The...

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Bibliographic Details
Main Author: Muhammad Nabil Hakeem Bin Kamsani
Other Authors: Mohamed M. Sabry Aly
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181568
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Institution: Nanyang Technological University
Language: English

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