拥挤公共区域定位服务的实现

Mangalraj, Likihith Plv, Harshini
{"title":"拥挤公共区域定位服务的实现","authors":"Mangalraj, Likihith Plv, Harshini","doi":"10.1109/ICIICT1.2019.8741419","DOIUrl":null,"url":null,"abstract":"Our keen Traffic monitoring Solution for street movement control System offers the capacity to obtain constant activity data. Activity Expert empowers administrators to perform ongoing information investigation on the data assembled. Activity administration measures are gone for enhancing the Traffic combination and stream of movement using activity limit all the more adequately. The Traffic issue is exceptionally confounded because of the contribution of differing parameters. In the first place, the activity stream relies upon the time where the movement top hours are for the most part toward the beginning of the day and toward the evening; on the times of the week where ends of the week uncover least load while Mondays andFridays by and large show thick movement arranged from urban areas to their edges and in invert bearing individually. In our undertaking we execute the keen activity dissecting framework by utilizing Internet of things with picture handling. In our task we catching the RGB picture of every path of the street. We dissecting the thickness of activity in the streetutilizing foundation subtraction calculation in raspberry pi. Prepared picture will spared to the cloud. Utilizing Cloud innovation, we see the power of the movement or stick happened in that specific zone through web. This will push us to mindful whether we experience the way or take a substitute approaches to achieved thegoal.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realization of Location Based Services For Crowded Public Areas\",\"authors\":\"Mangalraj, Likihith Plv, Harshini\",\"doi\":\"10.1109/ICIICT1.2019.8741419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our keen Traffic monitoring Solution for street movement control System offers the capacity to obtain constant activity data. Activity Expert empowers administrators to perform ongoing information investigation on the data assembled. Activity administration measures are gone for enhancing the Traffic combination and stream of movement using activity limit all the more adequately. The Traffic issue is exceptionally confounded because of the contribution of differing parameters. In the first place, the activity stream relies upon the time where the movement top hours are for the most part toward the beginning of the day and toward the evening; on the times of the week where ends of the week uncover least load while Mondays andFridays by and large show thick movement arranged from urban areas to their edges and in invert bearing individually. In our undertaking we execute the keen activity dissecting framework by utilizing Internet of things with picture handling. In our task we catching the RGB picture of every path of the street. We dissecting the thickness of activity in the streetutilizing foundation subtraction calculation in raspberry pi. Prepared picture will spared to the cloud. Utilizing Cloud innovation, we see the power of the movement or stick happened in that specific zone through web. This will push us to mindful whether we experience the way or take a substitute approaches to achieved thegoal.\",\"PeriodicalId\":118897,\"journal\":{\"name\":\"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIICT1.2019.8741419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIICT1.2019.8741419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们敏锐的交通监控解决方案为街道运动控制系统提供了获取持续活动数据的能力。Activity Expert使管理员能够对组装的数据执行持续的信息调查。活动管理措施更加充分地利用活动限制来加强交通组合和流动。由于不同参数的贡献,流量问题特别令人困惑。首先,活动流依赖于运动高峰时间的时间,在很大程度上是一天的开始和晚上;在一周的时间里,一周结束时发现的载荷最少,而周一和周五总体上显示出从城市地区到其边缘和反向轴承的密集运动。在我们的事业中,我们利用物联网和图像处理来执行敏锐的活动剖析框架。在我们的任务中,我们捕捉到街道上每条路径的RGB图像。利用树莓派的基础减法计算,对路面活动厚度进行了剖析。准备好的图片将保存到云端。利用云创新,我们看到移动的力量或通过网络在特定的区域发生。这将促使我们注意我们是否经历了实现目标的方式或采取替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Realization of Location Based Services For Crowded Public Areas
Our keen Traffic monitoring Solution for street movement control System offers the capacity to obtain constant activity data. Activity Expert empowers administrators to perform ongoing information investigation on the data assembled. Activity administration measures are gone for enhancing the Traffic combination and stream of movement using activity limit all the more adequately. The Traffic issue is exceptionally confounded because of the contribution of differing parameters. In the first place, the activity stream relies upon the time where the movement top hours are for the most part toward the beginning of the day and toward the evening; on the times of the week where ends of the week uncover least load while Mondays andFridays by and large show thick movement arranged from urban areas to their edges and in invert bearing individually. In our undertaking we execute the keen activity dissecting framework by utilizing Internet of things with picture handling. In our task we catching the RGB picture of every path of the street. We dissecting the thickness of activity in the streetutilizing foundation subtraction calculation in raspberry pi. Prepared picture will spared to the cloud. Utilizing Cloud innovation, we see the power of the movement or stick happened in that specific zone through web. This will push us to mindful whether we experience the way or take a substitute approaches to achieved thegoal.
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
期刊最新文献
Design Of A Monitoring System For Waste Management Using IoT Survey on Private Blockchain Consensus Algorithms Object Recognition and Classification Based on Improved Bag of Features using SURF AND MSER Local Feature Extraction Prediction of Heart Disease Using Machine Learning Algorithms. Wavefront Compensation Technique for Terrestrial Line of Sight Free Space Optical Communication
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1