可持续停车创新:利用物联网和面部图像识别增强安全性

Mamatha Deenakonda, V. V. Vijetha Inti, B. N. C. V. Chakravarthi, Ch Rajyalakshmi, Y. Palleswari, A. Siva, M. Kethan Sai Pranay
{"title":"可持续停车创新:利用物联网和面部图像识别增强安全性","authors":"Mamatha Deenakonda, V. V. Vijetha Inti, B. N. C. V. Chakravarthi, Ch Rajyalakshmi, Y. Palleswari, A. Siva, M. Kethan Sai Pranay","doi":"10.1088/1755-1315/1375/1/012031","DOIUrl":null,"url":null,"abstract":"\n Technology has advanced quickly today. The parking lot is one location where technology is used. The world’s most technologically advanced parking lots can currently recognize a vehicle plate image, but it is believed that by using Internet of Things (IoT) technology that is connected with facial recognition photographs, it will be even better. The manual screening done by security agents is one of the parking issues. Naturally, this will take time, and the level of security is also poor because there is no verification when you enter. Only at the moment of exit are checks made, and the officer making the check is not always the same and does not have the vehicle owner’s memory. The adoption of this facial image recognition technology is expected to increase the parking system’s security. This service does not require training data. The proposed system makes use of real-time data, low-cost sensors, and user-friendly applications to enable users to track parking availability in real time. The aim is to streamline the parking search process by automating the identification of optimal parking spots, whether it be the ideal floor, location, or lot, thereby minimizing manual search time. The integration of low-cost sensors not only enhances cost-effectiveness but also reduces the ecological footprint associated with traditional parking systems and also promotes a more resilient and eco-friendly urban environment for the benefit of both users and lot owners.","PeriodicalId":14556,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sustainable Parking Innovations: Enhancing Security with IoT and Facial Image Recognition\",\"authors\":\"Mamatha Deenakonda, V. V. Vijetha Inti, B. N. C. V. Chakravarthi, Ch Rajyalakshmi, Y. Palleswari, A. Siva, M. Kethan Sai Pranay\",\"doi\":\"10.1088/1755-1315/1375/1/012031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Technology has advanced quickly today. The parking lot is one location where technology is used. The world’s most technologically advanced parking lots can currently recognize a vehicle plate image, but it is believed that by using Internet of Things (IoT) technology that is connected with facial recognition photographs, it will be even better. The manual screening done by security agents is one of the parking issues. Naturally, this will take time, and the level of security is also poor because there is no verification when you enter. Only at the moment of exit are checks made, and the officer making the check is not always the same and does not have the vehicle owner’s memory. The adoption of this facial image recognition technology is expected to increase the parking system’s security. This service does not require training data. The proposed system makes use of real-time data, low-cost sensors, and user-friendly applications to enable users to track parking availability in real time. The aim is to streamline the parking search process by automating the identification of optimal parking spots, whether it be the ideal floor, location, or lot, thereby minimizing manual search time. The integration of low-cost sensors not only enhances cost-effectiveness but also reduces the ecological footprint associated with traditional parking systems and also promotes a more resilient and eco-friendly urban environment for the benefit of both users and lot owners.\",\"PeriodicalId\":14556,\"journal\":{\"name\":\"IOP Conference Series: Earth and Environmental Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOP Conference Series: Earth and Environmental Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/1755-1315/1375/1/012031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOP Conference Series: Earth and Environmental Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1755-1315/1375/1/012031","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

如今,科技发展日新月异。停车场就是技术应用的一个场所。目前,世界上技术最先进的停车场可以识别车牌图像,但相信通过使用与面部识别照片相连的物联网(IoT)技术,效果会更好。保安人员的人工检查是停车问题之一。这自然需要时间,而且安全级别也不高,因为进入时没有验证。只有在出场时才进行检查,而且检查的人员不一定是同一个人,也没有车主的记忆。采用这种面部图像识别技术有望提高停车场系统的安全性。这项服务不需要训练数据。拟议的系统利用实时数据、低成本传感器和用户友好型应用程序,使用户能够实时跟踪停车场的可用性。其目的是通过自动识别最佳停车位(无论是理想楼层、位置还是地段)来简化停车位搜索过程,从而最大限度地减少人工搜索时间。低成本传感器的集成不仅提高了成本效益,还减少了与传统停车系统相关的生态足迹,同时还促进了更具弹性和生态友好型的城市环境,使用户和停车场所有者都能从中受益。
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
Sustainable Parking Innovations: Enhancing Security with IoT and Facial Image Recognition
Technology has advanced quickly today. The parking lot is one location where technology is used. The world’s most technologically advanced parking lots can currently recognize a vehicle plate image, but it is believed that by using Internet of Things (IoT) technology that is connected with facial recognition photographs, it will be even better. The manual screening done by security agents is one of the parking issues. Naturally, this will take time, and the level of security is also poor because there is no verification when you enter. Only at the moment of exit are checks made, and the officer making the check is not always the same and does not have the vehicle owner’s memory. The adoption of this facial image recognition technology is expected to increase the parking system’s security. This service does not require training data. The proposed system makes use of real-time data, low-cost sensors, and user-friendly applications to enable users to track parking availability in real time. The aim is to streamline the parking search process by automating the identification of optimal parking spots, whether it be the ideal floor, location, or lot, thereby minimizing manual search time. The integration of low-cost sensors not only enhances cost-effectiveness but also reduces the ecological footprint associated with traditional parking systems and also promotes a more resilient and eco-friendly urban environment for the benefit of both users and lot owners.
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
CiteScore
1.00
自引率
0.00%
发文量
0
期刊最新文献
Peer Review Statement Response Surface Methodological Approach for the Adsorptive Removal of Geosmin and 2-Methylisoborneol on Sodium Hydroxide-Treated Powdered Activated Carbon Torrefaction performance of Macadamia husk under a flue gas atmosphere for solid biofuel applications Assessing the Techno-Economics of Solar-Assisted Absorption Air Conditioning in a University Building in Jordan Wyoming's produced water: Analysis and green hydrogen potential
×
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