ItemConference Paper

Design of a Multi Camera Enabled Scrutinizing Framework for Smart Cities

Title
Design of a Multi Camera Enabled Scrutinizing Framework for Smart Cities
Creator
Chaurasiya, Hirendra Kumar; Kumari, Muskan; Sharma, Vandana; Singh, Ajay Vikram; Jain, Sarika
Description
This research paper presents a multi-camera surveillance system tailored for the demands of smart cities. By integrating edge computing, the system decentralizes processing, reducing latency and alleviating network bandwidth strain. The architecture includes layers for data collection, edge processing, centralized storage, AI-driven analysis, synchronization, and user visualization. Cameras capture and preprocess data locally to identify anomalies and minimize unnecessary transmission. AI algorithms handle tasks like object tracking, behavior analysis, and event detection with precision. Synchronization ensures seamless temporal alignment across video streams for accurate event reconstruction. User-friendly dashboards provide actionable insights for urban planning and public safety. By leveraging edge computing, AI, and robust synchronization, this system addresses scalability, latency, and privacy concerns, offering enhanced safety, optimized traffic flow, and better urban planning. 2025 IEEE.
Source
2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
AI-Driven Analysis; Edge Computing; Multi-Camera Systems; Real-Time Data Processing; Smart City Surveillance
Coverage
Chaurasiya H.K., Kalinga Institute of Industrial Technology, School of Computer Engineereing, Bhubaneshwar, India; Kumari M., Kalinga Institute of Industrial Technology, School of Computer Engineereing, Bhubaneshwar, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India; Singh A.V., Amity University, AIIT, UP, India; Jain S., Amity University Uttar Pradesh, AIIT, Noida, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833152697-9;
Format
online
Language
English
Type
Conference paper

Citation

Chaurasiya, Hirendra Kumar; Kumari, Muskan; Sharma, Vandana; Singh, Ajay Vikram; Jain, Sarika, “Design of a Multi Camera Enabled Scrutinizing Framework for Smart Cities,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25752.

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