Artificial intelligence as an aide in management of security technology

Sizwe M. Dhlamini; Michael O. Kachienga; T. Marwala

doi:10.1109/AFRCON.2007.4401470

Artificial intelligence as an aide in management of security technology

Sizwe M. Dhlamini, Michael O. Kachienga, T. Marwala

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Historically, artificial intelligence (AI) research draws inspiration from human cognition, seeking to produce similarly intelligent behavior in artificial systems. Repetitive learning is the most important part of artificial intelligence. The South African electronic security industry is very data intensive, able to produce 1000 000 events per day and more than 1000 GB of video and voice data per day at a site. Many research and development groups in the security industry are looking extensively at AI to assist human operators to isolate important information from the avalanche of data. The selling potential systems resides in new AI based products and systems that can provide human-like sensibilities and reasoning. This paper gives an overview of existing and potential applications of AI in the security industry in South Africa. The paper highlights the value-adding potential of AI as a management tool to security systems.

Original language	English
Title of host publication	IEEE AFRICON 2007
DOIs	https://doi.org/10.1109/AFRCON.2007.4401470
Publication status	Published - 2007
Externally published	Yes
Event	IEEE AFRICON 2007 - Windhoek, South Africa Duration: 26 Sept 2007 → 28 Sept 2007

Publication series

Name	IEEE AFRICON Conference

Conference

Conference	IEEE AFRICON 2007
Country/Territory	South Africa
City	Windhoek
Period	26/09/07 → 28/09/07

Keywords

Artificial intelligence
Data mining
Intelligence systems
Learning systems
Management tool
Neural networks

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/AFRCON.2007.4401470

Cite this

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title = "Artificial intelligence as an aide in management of security technology",

abstract = "Historically, artificial intelligence (AI) research draws inspiration from human cognition, seeking to produce similarly intelligent behavior in artificial systems. Repetitive learning is the most important part of artificial intelligence. The South African electronic security industry is very data intensive, able to produce 1000 000 events per day and more than 1000 GB of video and voice data per day at a site. Many research and development groups in the security industry are looking extensively at AI to assist human operators to isolate important information from the avalanche of data. The selling potential systems resides in new AI based products and systems that can provide human-like sensibilities and reasoning. This paper gives an overview of existing and potential applications of AI in the security industry in South Africa. The paper highlights the value-adding potential of AI as a management tool to security systems.",

keywords = "Artificial intelligence, Data mining, Intelligence systems, Learning systems, Management tool, Neural networks",

author = "Dhlamini, {Sizwe M.} and Kachienga, {Michael O.} and T. Marwala",

year = "2007",

doi = "10.1109/AFRCON.2007.4401470",

language = "English",

isbn = "142440987X",

series = "IEEE AFRICON Conference",

booktitle = "IEEE AFRICON 2007",

note = "IEEE AFRICON 2007 ; Conference date: 26-09-2007 Through 28-09-2007",

}

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AU - Dhlamini, Sizwe M.

AU - Kachienga, Michael O.

AU - Marwala, T.

PY - 2007

Y1 - 2007

N2 - Historically, artificial intelligence (AI) research draws inspiration from human cognition, seeking to produce similarly intelligent behavior in artificial systems. Repetitive learning is the most important part of artificial intelligence. The South African electronic security industry is very data intensive, able to produce 1000 000 events per day and more than 1000 GB of video and voice data per day at a site. Many research and development groups in the security industry are looking extensively at AI to assist human operators to isolate important information from the avalanche of data. The selling potential systems resides in new AI based products and systems that can provide human-like sensibilities and reasoning. This paper gives an overview of existing and potential applications of AI in the security industry in South Africa. The paper highlights the value-adding potential of AI as a management tool to security systems.

AB - Historically, artificial intelligence (AI) research draws inspiration from human cognition, seeking to produce similarly intelligent behavior in artificial systems. Repetitive learning is the most important part of artificial intelligence. The South African electronic security industry is very data intensive, able to produce 1000 000 events per day and more than 1000 GB of video and voice data per day at a site. Many research and development groups in the security industry are looking extensively at AI to assist human operators to isolate important information from the avalanche of data. The selling potential systems resides in new AI based products and systems that can provide human-like sensibilities and reasoning. This paper gives an overview of existing and potential applications of AI in the security industry in South Africa. The paper highlights the value-adding potential of AI as a management tool to security systems.

KW - Artificial intelligence

KW - Data mining

KW - Intelligence systems

KW - Learning systems

KW - Management tool

KW - Neural networks

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U2 - 10.1109/AFRCON.2007.4401470

DO - 10.1109/AFRCON.2007.4401470

M3 - Conference contribution

AN - SCOPUS:48649102976

SN - 142440987X

SN - 9781424409877

T3 - IEEE AFRICON Conference

BT - IEEE AFRICON 2007

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Y2 - 26 September 2007 through 28 September 2007

ER -

Artificial intelligence as an aide in management of security technology

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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