Advanced Smart City Monitoring: Real-Time Identification of Indian Citizen Attributes

TL;DR

This paper presents a real-time smart surveillance system for Indian cities that uses AI and machine learning to identify and analyze citizens' attributes and behaviors through camera feeds.

Contribution

It introduces a novel AI-based system capable of real-time identification of various citizen attributes and behaviors in urban surveillance environments.

Findings

Effective real-time attribute recognition demonstrated

High accuracy in behavior analysis achieved

System suitable for large-scale deployment

Abstract

This project focuses on creating a smart surveillance system for Indian cities that can identify and analyze people's attributes in real time. Using advanced technologies like artificial intelligence and machine learning, the system can recognize attributes such as upper body color, what the person is wearing, accessories they are wearing, headgear, etc., and analyze behavior through cameras installed around the city.