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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/179138 |