文章基本信息

标题：Surveillance Rover Based On Real Time Object Recognition
本地全文：下载
作者：BONAM SHARATH SAI ; MANJUNATH REDDY HAGALADAL ; JAYANTH B A 等
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：1
页码：952-954
语种：English
出版社：IJAEM JOURNAL
摘要：In the past few years there have been plenty of technical advancements in surveillance, by the introduction of types of closed loop cameras. These have assisted in solving crime scenes and yet, the rate has not reduced due to the immovability of the surveillance equipment. In any hostage situations security cameras are the first to be targeted by the outlaws to protect their identity. therefore, the need for the development of mobile surveillance equipment is high. Residential areas, government organizations, commercial spaces, schools and hospitals, industries, banking and other challenging indoor and outdoor environments require surveillance systems. This project proposes a rover which can be controlled through the internet and can be used for surveillance applications. Raspberry Pi 3 B+ is used as the brain of the system and the module is also capable of performing Object Recognition using the YOLO.V3 algorithm which is based on deep learning. The rover can be controlled through an android application which communicates with the Raspberry Pi on the Rover and gets the job done. VNC viewer is used to have an access to the Raspbian OS of Raspberry Pi to make changes in its functioning.
关键词：surveillance. Raspberry Pi 3 B+;YOLO.V3;deep learning;Raspbian OS