Secureye

Authors

Pranav Raut, Ashish Nagarse
Guardinger Technologies, Pune, India.
Prajwal Vaidya, Niraj Koli, Aryan Kokabankar, Pratik Bhalkare, Sachin Deshpande
Department of Computer Engineering, Vidyalankar Institute Of Technology, Wadala, Mumbai, India.

Abstract

Objectives: The "Secureye" project is designed to enhance military surveillance by quickly detecting potentially dangerous or unauthorized items, such as weapons and armored vehicles, thereby helping to prevent conflicts and casualties among military personnel. Methods: The system leverages the YOLO (You Only Look Once) model for real-time object detection, chosen for its combination of high speed and accuracy. A comparison between Faster R-CNN and YOLOv5 revealed that YOLOv5 had a tenfold higher inference rate, making it the preferred choice for real-time detection in military applications. Findings: The system leverages the YOLO (You Only Look Once) model for real-time object detection, chosen for its combination of high speed and accuracy. A comparison between Faster R-CNN and YOLOv5 revealed that YOLOv5 had a tenfold higher inference rate, making it the preferred choice for real-time detection in military applications. Novelty: These features, combined with an optimized alert system and detailed report generation, position "Secureye" as a significant advancement in military surveillance technology.