监测环境的图像处理硬件算法

2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2017-12-01 DOI:10.1109/WIECON-ECE.2017.8468916

Tae-Hun Woo, Goo-Tae Kwon, Chang-Yong Lee, So-Young Kwon, Sung-Young Kim, Young-Hyung Kim, Yong-Hwan Lee

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引用次数: 0

摘要

近年来，在各种设备上使用摄像头的物体识别应用已经得到了发展，并有望在未来的许多领域得到应用。本文设计了基于SURF的森林火灾探测硬件系统。我们设计了硬件，并使用并行处理结构来实现实时处理。我们还提出了一种减少内存使用的方法，以减少硬件的面积。我们用HDL语言对硬件进行了设计，并在Modelsim上进行了仿真，与Matlab软件的结果进行了对比。这种设计可以实时监控诸如火灾探测和空气污染等环境。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Image Processing Hardware Algorithm for Monitoring Environment

Recently, object recognition applications using cameras in various devices have been developed and it is expected to be used in many fields in the future. In this paper, we designed SURF based hardware to detect forest fire. We designed the hardware and used a parallel processing structure to enable real-time processing. We also proposed a method to reduce memory usage to reduce the area of hardware. We have designed the hardware in HDL and verified its operation on Modelsim simulation comparing to the result of Matlab software. This design enables real-time monitoring of environments such as fire detection and air pollution.

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来源期刊

2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)

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