JOURNAL ARTICLE

VISION VAULT: INTELLIGENT VIDEO SURVEILLANCE SYSTEM

B. LakshmiV. PavaniPrasad ReddySK ZabeehullahCH Avinash

Year: 2025 Journal:   International Journal of Engineering Applied Sciences and Technology Vol: 09 (10)Pages: 73-79   Publisher: IJEAST

Abstract

Vision Vault: Intelligent Video Surveillance System is a cutting-edge solution designed to enhance security in office environments through real-time object detection and analysis using the YOLO v8 algorithm. The system integrates multiple advanced modules, including Video Acquisition for capturing live feeds, pre-processing for frame enhancement and formatting, and Object Detection for identifying and classifying objects. The Behaviour Analysis & Anomaly Detection Module monitors movements and detects suspicious activities, and unattended objects. When anomalies are detected, the Alert & Notification Module sends real time alerts via email, ensuring swift responses to potential threats. A user-friendly User Interface & Monitoring Module provides a dashboard for real-time monitoring, allowing security personnel to manage and review surveillance data efficiently. The system’s modular and scalable architecture ensures adaptability to various office environments, making it a robust and fault-tolerant solution. By automating surveillance tasks and delivering actionable insights, Vision Vault enhances security, reduces manual effort, and optimizes office operations, ensuring a smarter and safer workplace.

Keywords:
Vault (architecture) Computer science Computer vision Artificial intelligence Computer graphics (images) Computer security Engineering

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Topics

Currency Recognition and Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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