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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41305
Volume:
9 |
2 |
Feb 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The growing prevalence of mobile phone theft poses significant threats to personal security and data privacy, demanding innovative solutions beyond traditional security measures. This project introduces GeoCapture, an integrated system combining real-time location tracking with automated image capture to enhance the recovery of stolen or lost mobile devices. Leveraging GPS and Wi-Fi triangulation, the system provides precise location data, while the device’s front and rear cameras capture images during unauthorized access attempts, such as failed logins or SIM card changes. These images, along with location details, are securely transmitted to a cloud server and made accessible to users through an intuitive web or mobile interface. With its seamless combination of advanced tracking, visual evidence collection, and real-time notifications, GeoCapture empowers users to act swiftly, safeguard their data, and improve recovery outcomes, offering a robust solution to the challenges of mobile device theft in today’s digital age.
KEYWORDS
Publication Date
2/1/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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