ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
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    AI-Powered Cloud Surveillance System For Real-Time Security Enhancement

    Dr. N Swapna Goud

    Author

    ID: 3074

    DOI: Https://doi.org/10.64771/ijesat.2025.v25.i12.3074

    Abstract :

    Generally, In Many Stores Burglary Occurs Specifically In Night Time Which Causes A Lot Of Damage And Loss Of Product Or Money. This Causes The Owner Of The Store Extra Investment For Enhancement Of The Shop Caused By Thief. So, Our Proposed Solution Gives Advanced Night-time Surveillance System, Running At Specific Hours Like Close To Open. Runs From A Mobile Application Whereby A User Sets The Hours And Shop Settings. This Shall Identify Real Threats By Yolo V8 Algorithm, For Instance, Intruder Sends Fewer False Alarms Since It Is Triggered By Animals Or Environmental Causes. An Alarm Shall Be Audible When Motion Is Sensed. Instant Notifications On User S Mobile Device Through An Android Mobile Application. The Alarms Are Paused For A Specific User-specified Time After It Is Turned Off And Asks For Two Options YES/NO. Yes Holds The Alert And Further Alarms Are Silenced; No Will Re-engage Normal Monitoring. Alerts Will Switch To Alternate Pre-configured Phone Numbers If The First Device Is Unavailable. Central Hub That Controls Shop Hours, Alternate Contacts, And Alarm Settings. Always Uninterrupted Alerts And Smart Monitoring Of Businesses. Higher Security, Operational Efficiency, And Minimized False Alarms. Business Owner Peace Of Mind.

    Published:

    16-12-2025

    Issue:

    Vol. 25 No. 12 (2025)


    Page Nos:

    536-547


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    Dr. N Swapna Goud, AI-Powered Cloud Surveillance System for Real-Time Security Enhancement , 2025, International Journal of Engineering Sciences and Advanced Technology, 25(12), Page 536-547, ISSN No: 2250-3676.

    DOI: https://doi.org/10.64771/ijesat.2025.v25.i12.3074