Using Deep Learning for Apartment Complex Closed-Circuit Television System

Hao-Hsuan Tseng
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Abstract

The technology industry of Taiwan had been developed in the Hsinchu Science Park. Therefore, many residents live nearby Science Park. The residential area is the most populated in Taiwan, which induces apartment complex security issues. Although Taiwan is full of technology, there are not enough object detection systems with screen capturing on the market. There are only alarm systems for home security or normal security monitoring for apartment complex security. Thus, a closed-circuit television system for the apartment complex is developed in this study to support multiple network cameras for remote spaces through the network. That detects specific events and new objects.
深度学习在公寓综合闭路电视系统中的应用
新竹科技园发展了台湾的科技产业。因此,许多居民住在科学园附近。住宅区是台湾人口最多的地区,这就引发了公寓综合体的安全问题。虽然台湾科技发达,但市面上带有截屏功能的目标检测系统还不够多。只有家庭安全的报警系统或公寓综合体安全的正常安全监控。因此,本研究开发了一个公寓小区闭路电视系统,通过网络支持远程空间的多个网络摄像机。它可以检测特定事件和新对象。
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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