Fernando Terroso-Sáenz, Diego Martinez-Guillen, Antonio Llanes
{"title":"An Open Souce System for People Counting based on 802.11 Packets Tracking","authors":"Fernando Terroso-Sáenz, Diego Martinez-Guillen, Antonio Llanes","doi":"10.1109/ISWTA55313.2022.9942729","DOIUrl":null,"url":null,"abstract":"Mobile devices have become instrumental tools for our daily life. As a result, people in developed countries carry them all the time. This has opened an active line of research to estimate the presence of people based on capturing the packages emitted by such devices due to the multiple wireless protocols that they include. In this context, the present work proposed an open-source solution to fully capture, clean and process the packets emitted by digital devices with 802.11 protocol capabilities to estimate the number of people in a particular place. Based on a client-server model, the solution provides an interactive dashboard to visualize the presence estimation made by the framework. Finally, the solution has been tested in a real-world setting where it was able to uncover different visiting behaviours of the clients of a car garage.","PeriodicalId":293957,"journal":{"name":"2022 IEEE Symposium on Wireless Technology & Applications (ISWTA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Symposium on Wireless Technology & Applications (ISWTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWTA55313.2022.9942729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile devices have become instrumental tools for our daily life. As a result, people in developed countries carry them all the time. This has opened an active line of research to estimate the presence of people based on capturing the packages emitted by such devices due to the multiple wireless protocols that they include. In this context, the present work proposed an open-source solution to fully capture, clean and process the packets emitted by digital devices with 802.11 protocol capabilities to estimate the number of people in a particular place. Based on a client-server model, the solution provides an interactive dashboard to visualize the presence estimation made by the framework. Finally, the solution has been tested in a real-world setting where it was able to uncover different visiting behaviours of the clients of a car garage.