{"title":"Wi-Fi Enabled Asset Surveillance System using Internet of Things","authors":"Achmad Kathri Sansyah, Stephany Octaviani Ngesthi, Bernadus Sandy Pratama Putra Ardany, Gunawan Dewantoro","doi":"10.1109/ICITech50181.2021.9590129","DOIUrl":null,"url":null,"abstract":"Asset management is one of the most significant concerns in companies for controlling their moveable assets. However, most companies still deal with this in an inefficient way, such as manual recording or on-the-spot inspection, which is prone to human errors. This study proposes an assets surveillance system which is able to identify the assets movement statuses using a Wi-Fi network. A Wemos transmitter is mounted on each asset to be monitored and connected to the receiver through Wi-Fi signal. These tools are also connected to the internet via website to do real-time monitoring in client-side. The received signal strength indicator (RSSI) of Wi-Fi signal is measured and translated to distance information. Whenever the transmitter is out of the Wi-Fi range, a notification will pop up with ringing sound on website as it indicates that the asset is moved to another place. All activities are recorded automatically in the history. The results show that the website and notification system run properly. The maximum distances for the Wemos to detect is 12 meters, and the detection is performed at the average of 8.09 seconds. This system can be applied in companies to provide a secure, effective, and accurate way, comparing to the past manual asset management.","PeriodicalId":429669,"journal":{"name":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITech50181.2021.9590129","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
Asset management is one of the most significant concerns in companies for controlling their moveable assets. However, most companies still deal with this in an inefficient way, such as manual recording or on-the-spot inspection, which is prone to human errors. This study proposes an assets surveillance system which is able to identify the assets movement statuses using a Wi-Fi network. A Wemos transmitter is mounted on each asset to be monitored and connected to the receiver through Wi-Fi signal. These tools are also connected to the internet via website to do real-time monitoring in client-side. The received signal strength indicator (RSSI) of Wi-Fi signal is measured and translated to distance information. Whenever the transmitter is out of the Wi-Fi range, a notification will pop up with ringing sound on website as it indicates that the asset is moved to another place. All activities are recorded automatically in the history. The results show that the website and notification system run properly. The maximum distances for the Wemos to detect is 12 meters, and the detection is performed at the average of 8.09 seconds. This system can be applied in companies to provide a secure, effective, and accurate way, comparing to the past manual asset management.