利用人工智能和物联网检测和警报森林中的动物

H. Girish, T. G. Manjunat, A. C. Vikramathithan
{"title":"利用人工智能和物联网检测和警报森林中的动物","authors":"H. Girish, T. G. Manjunat, A. C. Vikramathithan","doi":"10.1109/ICAECC54045.2022.9716679","DOIUrl":null,"url":null,"abstract":"One significant issue that every country confronting today is passing and wounds because of street mishaps. The human-creature crash is one of the significant explanations for some lethal mishaps. There are road-accidents happening like clockwork all throughout the planet. This paper proposes a system to detect animals and alert vehicles to decrease thruway mishaps of animals. Using IOT, a detection and alert system is proposed. This alert system further produces signals in such a way to alert the drivers in the highway if the detection is triggered. IoT plays a major role along with Pi module to detect the animals and alert the vehicles. Sensors are used to detect the obstacle which activates Pi Camera configured by Raspberry Pi to capture the live images or video and movements of animals with help of image detection then alert the people and vehicles in the forest highways. An indication with a light at particular distance during night time is also incorporated. Thus, the paper aim is to secure animals from accidents and save many lives from danger. YOLO (You just look once) algorithm is proposed which assists with handling 45 frames each second and takes the entire picture to anticipate the object.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Detection and Alerting Animals in Forest using Artificial Intelligence and IoT\",\"authors\":\"H. Girish, T. G. Manjunat, A. C. Vikramathithan\",\"doi\":\"10.1109/ICAECC54045.2022.9716679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One significant issue that every country confronting today is passing and wounds because of street mishaps. The human-creature crash is one of the significant explanations for some lethal mishaps. There are road-accidents happening like clockwork all throughout the planet. This paper proposes a system to detect animals and alert vehicles to decrease thruway mishaps of animals. Using IOT, a detection and alert system is proposed. This alert system further produces signals in such a way to alert the drivers in the highway if the detection is triggered. IoT plays a major role along with Pi module to detect the animals and alert the vehicles. Sensors are used to detect the obstacle which activates Pi Camera configured by Raspberry Pi to capture the live images or video and movements of animals with help of image detection then alert the people and vehicles in the forest highways. An indication with a light at particular distance during night time is also incorporated. Thus, the paper aim is to secure animals from accidents and save many lives from danger. YOLO (You just look once) algorithm is proposed which assists with handling 45 frames each second and takes the entire picture to anticipate the object.\",\"PeriodicalId\":199351,\"journal\":{\"name\":\"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAECC54045.2022.9716679\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC54045.2022.9716679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

每个国家今天面临的一个重大问题是由于街头事故造成的死亡和伤害。人与人之间的碰撞是一些致命事故的重要解释之一。在这个星球上,道路交通事故的发生就像钟表一样规律。为了减少高速公路动物事故的发生,本文提出了一种动物检测报警系统。利用物联网,提出了一种检测和报警系统。该警报系统进一步以这种方式产生信号,提醒高速公路上的司机,如果检测被触发。物联网与Pi模块一起发挥重要作用,以检测动物并提醒车辆。传感器用于检测障碍物,激活树莓派配置的Pi相机,在图像检测的帮助下捕捉实时图像或视频和动物的运动,然后提醒森林高速公路上的人和车辆。在夜间还包括在特定距离上的指示灯。因此,论文的目的是确保动物免受意外事故,并挽救许多生命免受危险。提出了YOLO(你只看一次)算法,该算法每秒处理45帧,并拍摄整个图像来预测物体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and Alerting Animals in Forest using Artificial Intelligence and IoT
One significant issue that every country confronting today is passing and wounds because of street mishaps. The human-creature crash is one of the significant explanations for some lethal mishaps. There are road-accidents happening like clockwork all throughout the planet. This paper proposes a system to detect animals and alert vehicles to decrease thruway mishaps of animals. Using IOT, a detection and alert system is proposed. This alert system further produces signals in such a way to alert the drivers in the highway if the detection is triggered. IoT plays a major role along with Pi module to detect the animals and alert the vehicles. Sensors are used to detect the obstacle which activates Pi Camera configured by Raspberry Pi to capture the live images or video and movements of animals with help of image detection then alert the people and vehicles in the forest highways. An indication with a light at particular distance during night time is also incorporated. Thus, the paper aim is to secure animals from accidents and save many lives from danger. YOLO (You just look once) algorithm is proposed which assists with handling 45 frames each second and takes the entire picture to anticipate the object.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信