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@article{176014,
author = {Dishant Ghayar and Abhinav Kale and Prof. Tejaswini Mali},
title = {GuardianX: Smart Intruder Capture With Geo - Tracking Capabilities},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {11},
pages = {5286-5290},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=176014},
abstract = {Due to the increase in cyber and physical threats, it is necessary to have an intelligent and automated security system to protect key assets. GuardianX: Smart Intruder Capture with Geo-Tracking Feature is a highly sophisticated security platform that combines artificial intelligence, computer vision, and geo-tracking capabilities to identify and track intruders in real-time. Using deep learning-powered image recognition and motion detection technology, the live surveillance feed is analysed to achieve accurate intruder identification. GuardianX is engineered to take high-definition photographs of unauthorized personnel and immediately send notifications to security officers. The geo-tracking module allows for real-time monitoring of the location, which enables rapid response and intervention. GPS and IoT-based communication is used to continuously track the movement of the intruder across designated zones. In addition, cloud storage and analytics-based data storage strengthen predictive threat assessment by recognizing patterns in unauthorized attempts. The system designed has greatly reduced response time, eliminated false alarms, and provided increased security automation. GuardianX also seeks to eliminate the gap between traditional surveillance systems and AI-powered smart security systems by providing a smart, effective, and proactive intrusion detection and tracking solution.},
keywords = {Geolocation, Flask, Real-time tracking, Cybersecurity, Data privacy, Secure communication, Encryption, Asset tracking, Personal safety.},
month = {April},
}
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