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Intelligent Camera Decision-Making System

Real-time AI-powered camera system for automated decision-making and event detection.

About the Project

The Intelligent Camera Decision-Making System is designed to process video data, identify important events, and make informed decisions in real-time. It is equipped with features such as smart alerts, incident reporting, and approval-based camera coordination. The system aims to enhance surveillance capabilities and automate the response to suspicious activities.

Getting Started

Prerequisites

  • Python 3
  • Tensorflow and Keras
  • OpenCV
  • NumPy, Pandas
  • Transformers
  • NodeJS, React, APIs

Features

  • Object Detection - (Scissors, ScrewDrivers, Syringes, NailCutters etc.)
  • Suspicious Activity Detection like Digging and Jumping
  • Traffic Analysis
  • MultiLingual
  • Sends Notification to Authority if Detected
  • User Authentication

Usage The system provides real-time alerts for suspicious activities, incident reporting with video clips, and additional features such as traffic monitoring and people counting. Refer to the documentation for detailed usage instructions.

Contributors

  • Krishna Khattri
  • Dhruv Chandak
  • Mahika Jain
  • Harsh Batra

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