FEATURE
cybersecurityeurope PAGE 56
NEC PUBLIC SAFETY: FACIAL RECOG. SOLUTIONS
FACIAL RECOG. FOR WORKPLACE SECURITY
A 2018 report by NIST said that
massive gains in accuracy have been made within the last six years and has exceed improvements achieved in the 2010-13 period. And according to a 2019 report in Fortune magazine, innovation in facial recognition comes thanks to two emergent factors that have transformed AI more broadly. The fi rst is the emergent science called Deep Learning. The second factor is an unprecedented ‘glut’ of data that can be stored and parsed at low cost with the aid of cloud computing. Although this trend is more likely to return value in the fi eld of scanning large crowds, it does also have some applications for premises security facial recognition systems. Although these can check and
confi rm that a face that comes through the main entrance is a known member of staff , it can also simultaneously check the face against a database of people an employer wants to keep out. And although its effi cacy in terms of correct identifi cation of individual faces still falls short of 100% accuracy, the market evidently sees it as good enough for many use-cases. According to a recently published
report by analyst MarketsandMarkets, The Facial Recognition Market by
Component, Application Area, Vertical, and Region, the global market is expected to grow from €2.89bn ($3.2bn) in 2019 to €6.34bn ($7.0bn) by 2024, at a CAGR of 16.6% across the forecast period. Another forecaster, Reports and Data, estimates that the market value will go on to reach €10.23 ($11.30bn) by 2026. The market-watcher says growth can be mainly associated with an increase in demand for surveillance systems for enhancing safety and security in both public and private premises: the latter market is deemed a ‘notable factor for industry growth’.
Facial recognition, after all, is analysis of data, and any data that forms the basis of security is attractive to cyber threats.
The BFSI (banking, fi nancial services, insurance) segment accounts
for the largest share of 29.2% of the market in 2018: any in-premises security alerts on trading fl oors and other centres of fi nancial processing can disrupt operations, costing millions in losses. The growth will also tie-in with technological advancements in the implementation of smartphone technology that supports app- based ID tools for personal access. There’s also an expectation that facial recognition will converge with other forms of biometric identifi cation, such as voice recognition: employees of the 2020s will have to get used to having their faces and voices verifi ed before they can enter their workplaces. Technology provider Gemalto calls facial recognition ‘the most natural of all biometric measurements’. Although prospects for the facial recognition market look good,
the technology will have to overcome another acceptance hurdle, and that is its cyber security. Facial recognition is, after all, analysis of data, and any data that forms the basis of security is attractive to cyber threats. ‘At fi rst, the possibility of verifying a person’s identity via physiological biometric sensors seemed like a promising
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