PAGE 55 cybersecurityeurope
FEATURE
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<///////////// // ///>Id e nti fi c ation au tho r is ed
D i g i t a l bi l d Liv e
Erfassung liv e capture
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al GNITION image V erific at ion m a tch
USE OF ENTERPRISE-SCALE FACIAL RECOGNITION SYSTEMS HAS PROVED CONTROVERSIAL IN SOME USE-CASES, MOST NOTABLY WITH APPLICATIONS IN THE FIELD of law-enforcement and crime detection. Some people, it seems, just won’t countenance it. When in August 2019 a Financial Times investigation revealed that
facial-recognitive CCTV surveillance across a 67-acre public-space development in London’s King’s Cross district surreptitiously uses facial recognition to track thousands of pedestrians, concern was voiced by both the UK ICO and civil liberties watchdogs alike. But while the topic of public facial recognition surveillance looks
set to arouse the ire of some, other sectors are showing a preference for this mode of individual identifi cation for a range of security needs – particularly in the premises and workplace security in
Facial recognition (known also as ‘face recognition’ in the US) is a term applied to biometric software applications that are capable of uniquely identifying or
Security assurance is crucial if organisations are to have confi dence in facial recognition technology as a fi rst line of defence against workplace intruder risk.
high-value business markets, such as facilities where 24x7 fi nancial trading occurs. Such systems are dedicated combinations of heavy-duty hardware and software, and are distinct from the popular smartphone-based facial recognition apps, such as those from Facebook and Google. Some vendors of high-end turn-key facial recognition platforms build advanced tech like Artifi cial Intelligence (AI) into the mix, with the objective of making their systems ever-more accurate.
FACIAL RECOGNITION: MUGGING-UP
verifying a person by the comparison and analysis patterns based on their facial contours. Facial recognition is mostly used for security purposes, but there is increasing interest in other use-cases.
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