T. Mantoro, Feriadi, Nazori Agani, M. A. Ayu, D. Jatikusumo
{"title":"Location-Aware Mobile Crime Information Framework for Fast Tracking Response to Accidents and Crimes in Big Cities","authors":"T. Mantoro, Feriadi, Nazori Agani, M. A. Ayu, D. Jatikusumo","doi":"10.1109/ACSAT.2014.41","DOIUrl":null,"url":null,"abstract":"Recently the number of accidents and crimes are arising in many big cities. Mobile applications with location aware systems can be utilized in providing location information of the crime. The problem is that location information provided by mobile phones has not been fully utilized. Mostly mobile phones used for its main functions which are for calling and messaging. This paper argues that location information can be used for reporting accident and crime, so that a quick and fast response can be achieved. This study proposes a framework of mobile crime information assistance to help the users (victim) from locus delicti (location where accident or crime happened) with location aware capabilities. Using this framework, mobile app can send and receive location of crimes including the scenes (images) to the nearest police station or central police station. The system can offer a facility to track the location of the nearest police station by accessing a built-in database with a combination of Google map APIs and send the scene/image of the crime location as one complete set of report to the police station. This will allow the police to find the location of the accident right away and increase the safety of the resident in big cities.","PeriodicalId":137452,"journal":{"name":"2014 3rd International Conference on Advanced Computer Science Applications and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 3rd International Conference on Advanced Computer Science Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSAT.2014.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Recently the number of accidents and crimes are arising in many big cities. Mobile applications with location aware systems can be utilized in providing location information of the crime. The problem is that location information provided by mobile phones has not been fully utilized. Mostly mobile phones used for its main functions which are for calling and messaging. This paper argues that location information can be used for reporting accident and crime, so that a quick and fast response can be achieved. This study proposes a framework of mobile crime information assistance to help the users (victim) from locus delicti (location where accident or crime happened) with location aware capabilities. Using this framework, mobile app can send and receive location of crimes including the scenes (images) to the nearest police station or central police station. The system can offer a facility to track the location of the nearest police station by accessing a built-in database with a combination of Google map APIs and send the scene/image of the crime location as one complete set of report to the police station. This will allow the police to find the location of the accident right away and increase the safety of the resident in big cities.