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Title: :  ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION
PaperId: :  21645
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21645
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
REVATHI M BANNARI AMMAN INSTITUTE OF TECHNOLOGY
SUSEENDRAN V BANNARI AMMAN INSTITUTE OF TECHNOLOGY
SANJAY KUMAR P BANNARI AMMAN INSTITUTE OF TECHNOLOGY
DHIVYA P BANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

ARTIFICIAL INTELLIGENCE
ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION
This paper presents an enhanced CCTV analytic solution for theft detection in mobile applications. The solution is designed to detect and prevent theft by analyzing video footage captured by mobile devices, using machine learning algorithms like CNN-YOLOV3 to identify suspicious behaviour patterns. The solution includes object detection, motion tracking, and behaviour analysis algorithms, which are integrated into the mobile application to provide real-time monitoring and alerting. The solution is evaluated using a dataset of video footage captured in a retail store, and is shown to be effective in detecting and preventing theft incidents. The study demonstrates the potential of advanced CCTV analytic solutions for enhancing security in mobile applications, and highlights the importance of integrating machine learning algorithms into mobile devices for real-time monitoring and alerting.The enhanced cctv analytic solution for theft detection is an intelligent system that analyzes video footage in real-time to detect and alert security personnel of potential theft incidents. The system utilizes advanced algorithms and machine learning to identify suspicious behavior, such as loitering, unauthorized access, and suspicious object placement, and generates alerts to prevent theft before it occurs. The solution is designed to enhance security in public spaces, retail environments, and other high-risk areas. the goal of the project would be to develop an app that can help prevent theft by detecting suspicious behavior in real-time and alerting users to potential threats. This would involve using machine learning algorithms to analyze video footage and generate alerts when suspicious behavior is detected. The app would be integrated with a network of cameras that can capture footage from different angles and locations, and would allow users to view live footage and playback recorded footage. Keyword : - Theft detection; Footage; Mobile application ;Monitoring etc.

Citations

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IJARIIE REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , and DHIVYA P . "ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 659-666
MLA REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , and DHIVYA P . "ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 659-666.
APA REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , & DHIVYA P . (2023). ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 659-666.
Chicago REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , and DHIVYA P . "ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 659-666.
Oxford REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , and DHIVYA P . 'ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 659-666. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ENHANCED_CCTV_ANALYTIC_SOLUTION_FOR_THEFT_DETECTION_ijariie21645.pdf (Accessed : 08 July 2025).
Harvard REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , and DHIVYA P . (2023) 'ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 659-666IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ENHANCED_CCTV_ANALYTIC_SOLUTION_FOR_THEFT_DETECTION_ijariie21645.pdf (Accessed : 08 July 2025)
IEEE REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , and DHIVYA P , "ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 659-666, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/ENHANCED_CCTV_ANALYTIC_SOLUTION_FOR_THEFT_DETECTION_ijariie21645.pdf [Accessed : 08 July 2025].
Turabian REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , and DHIVYA P . "ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (08 July 2025).
Vancouver REVATHI M , SUSEENDRAN V , SANJAY KUMAR P , and DHIVYA P . ENHANCED CCTV ANALYTIC SOLUTION FOR THEFT DETECTION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 08 July 2025]; 9(5) : 659-666. Available from: https://ijariie.com/AdminUploadPdf/ENHANCED_CCTV_ANALYTIC_SOLUTION_FOR_THEFT_DETECTION_ijariie21645.pdf
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