文章基本信息

标题：SmartBark: An Automated Dog Barking Detection and Monitoring System using AI and Deep Learning
本地全文：下载
作者：Xiangjian Liu ; Yishan Zou ; Yu Sun 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2021
卷号：11
期号：14
语种：English
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Dogs have the tendency to bark at loud noises that they perceive as an intruder or a threat, and the hostile barking can often last up to hours depending on the duration of such noise. These barking sessions are unnecessary and negatively impact the quality of life of the others in your community, causing annoyance to your neighbors [1]. Having the rights to file noise complaints to the Home Owners Association, potentially resulting in fines or even the removal of the pet [2]. In this paper, we will discuss the development of an algorithm that takes in audio inputs through a microphone, then processes the audio and identifies that the audio clip is dog barks through machine learning, and ultimately sends the notification to the user. By implementing our application to the everyday life of dog owners, it allows them to accurately determine the status of their dog in real-time with minimal false reports.
关键词：Monitoring System;Deep Learning;AI;mobile platform