Crime Identification by Geofencing Enforcing Co-operative Platform

Sulakshana B. Mane, Vijaykumar S. Bidve, Pranav M. Pawar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Now a days, many people fall victims at the hands of crimes such as kidnapping, chain snatching, eve teasing and child abuse (Suyama, Inoue In: IEEE/ACIS 15th International conference computer and information science, 2016; Kumar Emergency information system architecture for disaster management: metro city perspective, pp 560–564, 2017; Council Improving disaster management: the role of IT in mitigation, preparedness, response, and recovery, National Academies Press, 2007). This research work proposes a system which will be useful for monitoring crime. The proposed solution for public safety is based on information and resource sharing. Sharing information between services allows acquiring more knowledge about the current events of the crime-prone area that helps users to less prone to crime activity. Authors developed geofences that help user to be alert in the restricted area which is prepared by the admin inside the application. The latitude and longitude of the geofences are stored on server, whereas the entire user data is stored in the database. Later the data is accessed from server to the mobile application. It is observed that if user is made aware for crime he or she will be less victim of crime.

Original languageEnglish
Title of host publicationProceeding of First Doctoral Symposium on Natural Computing Research - DSNCR 2020
EditorsVarsha H. Patil, Nilanjan Dey, Parikshit N. Mahalle, Mohd Shafi Pathan, Vinod. V. Kimbahune
PublisherSpringer Science and Business Media Deutschland GmbH
Pages327-336
Number of pages10
ISBN (Print)9789813340725
DOIs
StatePublished - 2021
Event1st Doctoral Symposium on Natural Computing Research, DSNCR 2020 - Pune, India
Duration: 8 Aug 20208 Aug 2020

Publication series

NameLecture Notes in Networks and Systems
Volume169 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference1st Doctoral Symposium on Natural Computing Research, DSNCR 2020
Country/TerritoryIndia
CityPune
Period8/08/208/08/20

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Android
  • Geofence
  • Location-based tracking
  • Monitoring

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