Real-time Analytics in Public Safety Using AI-based Video Surveillance Systems

Ravikanth Konda

doi:10.36948/ijfmr.2023.v05i06.43945

Real-time Analytics in Public Safety Using AI-based Video Surveillance Systems

Author(s)	Ravikanth Konda
Country	United States
Abstract	The increasing demand for improved public safety has resulted in the spread of intelligent surveillance technologies. Artificial Intelligence (AI) has become a major facilitator of real-time video analytics, enabling quicker and more precise identification of threats, anomalies, and criminal behavior. This paper discusses the development and implementation of AI-based video surveillance systems in public safety, with a focus on real-time analytics capabilities. Through in-depth analysis, we explain how such systems work, their performance, and limitations. The methodology section describes the data collection, processing pipelines, and AI models used. Results show significant improvements in response time and situational awareness. The discussion takes into account ethical considerations, challenges like data privacy, and technical limitations. We conclude by providing recommendations for future enhancements and policy integration. With the capability of handling large volumes of video data rapidly and accurately, AI-driven surveillance systems are increasingly being installed in numerous public places such as transportation centers, schools, and police stations. Such systems are built not just to monitor but also to decode visual information in real-time, detecting possible dangers and allowing for fast action. They also help in investigations after incidents have occurred with high-quality data analysis, allowing for quicker case closures. This paper also elaborates on the scalability of AI video surveillance systems, edge computing, and integration with current public safety frameworks. Real-world case studies and experimental deployments are discussed to illustrate system effectiveness in varied environments. In addition, an in-depth evaluation of the technological, ethical, and legal landscape is carried out, giving a complete picture of current trends and future directions.
Field	Engineering
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-12-08
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.43945
Short DOI	https://doi.org/g9hm29

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Real-time Analytics in Public Safety Using AI-based Video Surveillance Systems

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