A review of age estimation research to evaluate its inclusion in automated child pornography detection

Lee MacLeod*, David King, Euan Dempster

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The uses of artificial intelligence (AI) today seem limitless. It has helped organisations understand their customers more, provide them with better, more tailored services, and helped people with disabilities understand the world they previously could not. There are also many areas of current research for the use of AI. Aiding law-enforcement when they must analyse evidence of an indecent nature is one example where the use of AI, if successful, could enhance detection of indecent images and also reduce the workload and stress on the law enforcement staff employed in such activities. Working with indecent images of minors is particularly stressful. This paper reviews the current stage at which artificial intelligence finds itself when estimating a person’s age. By reviewing its accuracy, it is possible to evaluate the feasibility of its inclusion in an artificial-intelligence-aided evidence analysis tool. With artificial intelligence currently capable of estimating a person’s age to within a few years, its incorporation would most certainly allow photographs to be analysed and flagged if anyone is suspected of being underage.
Original languageEnglish
Title of host publicationIntelligent computing
Subtitle of host publicationproceedings of the 2020 Computing conference
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
Place of PublicationCham
PublisherSpringer
Pages566-580
Number of pages15
Volume1
ISBN (Electronic)9783030522490
ISBN (Print)9783030522483
DOIs
Publication statusPublished - 3 Aug 2020
EventComputing Conference 2020 - online/virtual event, London, United Kingdom
Duration: 16 Jul 202017 Jul 2020
https://saiconference.com/Computing

Publication series

NameAdvances in Intelligent Systems and Computing (AISC)
PublisherSpringer
Volume1228
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceComputing Conference 2020
CountryUnited Kingdom
CityLondon
Period16/07/2017/07/20
Internet address

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