Crime Prevention System Using Location Services Phase 2

April 2024
Vol-10, Issue-2
Paper ID: 23223
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Eclat algorithm Clustering Classification Association GPS tracking Crime.
Abstract
Crime detection and emergency response systems are integral for public safety and upholding law and order. With the proliferation of advanced technologies like smartphones and location-based services, there's a unique opportunity to develop innovative crime-combating solutions. Here, we present a comprehensive crime detection and alert system aimed at enhancing law enforcement efficiency and empowering individuals for proactive safety measures. Our system utilizes smartphones, the Android OS, and the Google Location API to create a robust platform. By leveraging real-time location data and advanced algorithms, law enforcement can track criminals with minimal resources. Moreover, secure data storage and transmission enhance information integrity and reliability, boosting public confidence in law enforcement. A key feature is timely alerts and actionable intelligence for authorities and the public, integrated seamlessly with existing infrastructure for informed decision-making and crime prevention. Despite benefits like accident prevention and life preservation, the system relies on internet connectivity, posing challenges in remote areas. However, ongoing innovation can overcome these hurdles, ensuring widespread effectiveness. Future research could focus on AI integration and decentralized communication networks to enhance crime prediction and response, further bolstering public safety.

Author Information

# Name Institute / Affiliation
1 Arshin Sayyad Sandip Institute of Engineering and Management
2 Madhura Vyavahare Sandip Institute of Engineering and Management
3 Neha Badgujar Sandip Institute of Engineering and Management
4 Reena Walde Sandip Institute of Engineering and Management
5 Snehal Dongare Sandip Institute of Engineering and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style
Sayyad, Arshin, Vyavahare, Madhura, Badgujar, Neha, Walde, Reena, & Dongare, Snehal (2024). Crime Prevention System Using Location Services Phase 2. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 3494-3501.
MLA Style
Sayyad, Arshin, et al. "Crime Prevention System Using Location Services Phase 2." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 3494-3501.
IEEE Style
Arshin Sayyad, Madhura Vyavahare, Neha Badgujar, Reena Walde, and Snehal Dongare, "Crime Prevention System Using Location Services Phase 2," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 3494-3501, 2024.
Vancouver Style
Sayyad Arshin, Vyavahare Madhura, Badgujar Neha, Walde Reena, Dongare Snehal. Crime Prevention System Using Location Services Phase 2. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):3494-3501.
Harvard Style
Sayyad, Arshin, Vyavahare, Madhura, Badgujar, Neha, Walde, Reena, & Dongare, Snehal (2024) 'Crime Prevention System Using Location Services Phase 2', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 3494-3501.
Chicago Style
Sayyad, Arshin, et al. "Crime Prevention System Using Location Services Phase 2." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 3494-3501.
Turabian Style
Sayyad, Arshin, et al. "Crime Prevention System Using Location Services Phase 2." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 3494-3501.

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