Surveillance and security: integrating video, audio, and sensor data

Title

Surveillance and security: integrating video, audio, and sensor data

Creator

Marakkar, Sheheen; Thakur, Shubham Kumar

Description

This period of rapid technological development offers enormous prospects for enhancement in security and surveillance systems through integration of sensor, audio, and video data. Conventional surveillance systems, that rely primarily on video feeds, have been undergoing the process of incorporating audio and sensor data to provide monitoring solutions that are more comprehensive and accurate. In addition to this the research provides an overview of the possibility of strengthening security in a number of settings. It also deals with the strategy involved in the integration of multimodal data as well as challenges associated with this process. This expansion is crucial for the deployment of these integrated systems. Moreover, in the application of machine learning (ML) and artificial intelligence (AI) technologies in making sense of such vast volumes of data as output by the respective systems, the detection of threats with higher precision and speed has improved. Complex sensor, audio, and video pattern analysis are theoretically possible using models of AI and ML. This study culminates in the presentation of a list of prospective future research subjects. It is meant to integrate technology innovation with social aspects such as privacy and security systems. Among them are the development of lightweight algorithms, ethical frameworks, and integration solutions that are efficient. 2026 Elsevier Inc. All rights reserved.

Source

Multimodal Learning Using Heterogeneous Data;pp.229-238

Date

01-01-2025

Publisher

Elsevier

Subject

anomaly detection; big data analytics; cybersecurity; Data fusion; intelligent surveillance; predictive analytics

Coverage

Marakkar S., CHRIST University, Bengaluru, India; Thakur S.K., CHRIST University, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-044327528-9; 978-044327529-6;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1016/B978-0-443-27528-9.00020-6

https://www.scopus.com/pages/publications/105032925264?origin=resultslist