Video analytic system on FPGA edge device for real time fire detection

This Final Year Project aims to develop a video-based fire detection system on Xilinx Kira KV260 evaluation board with FPGA SoC. State-of-the-art Yolov8 is used as the base architecture to develop fire detection model. To address the limitations of small training dataset, various techniques such as...

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Bibliographic Details
Main Author: Cui, Haoyuan
Other Authors: Ling Keck Voon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/179138
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Institution: Nanyang Technological University
Language: English