Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

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

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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 : ).
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 : )
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 : ].
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 ().
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 : ]; 9(5) : 659-666. Available from: https://ijariie.com/AdminUploadPdf/ENHANCED_CCTV_ANALYTIC_SOLUTION_FOR_THEFT_DETECTION_ijariie21645.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Enhancing Diabetic Retinopathy Management Through Personalized Recommendations with Reinforcement LearningComputer EngineeringH.M.A.I.B Herath Download
Development Of Novel Speech To Text Medical App On Patient’s Data using Artificial Intelligence and Edge Computingcomputer engineeringKriti prasad Download
The Role of Artificial Intelligence in HealthcareComputer engineeringMandla Tirumala Sai Download
Speech Sentiment Classification with MLMachine LearningSagar M Prajapathi Download
BIPOLAR AND SLEEP APNEA DETECTIONSComputer ScienceKarthik V Download
Quantum Computing in Cryptography: Revolutionizing Security in the Digital EraComputer EngineeringAnanya T Download
Exploring Audio Features for Enhanced Bird Identification Using Neural NetworksMachine LearningAshwin Bhatt Download
The Impact of Emerging Technologies on Modern E-Commercecomputer scienceAnisha shermi A Download
Transforming Emergency Response and Personalized Health Management with AI and Quantum InnovationsComputer ScienceTapaswini Kar Download
Harnessing Artificial Intelligence for the Future of Personalized HealthcareComputer EngineeringShravani A Download
Optimisation de l’apprentissage des données météorologique déséquilibrées basé sur la modélisation du formule d’Itô et le k-NNIntelligence artificiel, InformatiqueRAMAHEFY Tiana Razefania Download
Comparative Analysis of Machine Learning Techniques for Human Stress Level Prediction: Performance Metrics and InsightsBiomedical EngineeringA. Rasheedha Download
Natural Language Processing Techniques for Ranking Subjective ResponsesComputer ScienceMohammed Ayub G Download
Decision Support System for predicting Diseases using A.I.AI in HealthcareRitika Chatterjee Download
REVIEW ON MACHINE LEARNINGartificial intelligenceBHUMIKA S K Download
12