Smart Surveillance System using Deep Learning

Article Fingerprint
Research ID 5D7W8

IntelliPaper

Abstract

In industry and research area big data applications are consuming most of the spaces. Among some examples of big data, the video streams from CCTV cameras as equal importance with other sources like medical data, social media data. Based on the security purpose CCTV cameras are implemented in all places where security having much importance. Security can be defined in different ways like theft identification, violence detection etc. In most of the highly secured areas security plays a major role in a real time environment. This paper discusses the detecting and recognising the facial features of the persons using deep learning concepts. This paper includes deep learning concepts starts from object detection, action detection and identification. The issues recognized in existing methods are identified and summarized.

Explore Digital Article Text

Article file ID not found.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

Cite this article

Generating citation...

Related Research

  • Classification

    FOR Code: 091599

  • Version of record

    v1.0

  • Issue date

    01 July 2022

  • Language

    en

Iconic historic building with domed tower in London, UK.
Open Access
Research Article
CC-BY-NC 4.0
Support