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