New Super Recogniser International Research

Research conducted by the University of New South Wales and other universities has further demonstrated how Super Recognisers can assist law enforcement and border control agencies - especially operationally, where fast decisions are required. The strength and weaknesses of the various methods of identification - SRs, trained forensic examiners and automated systems (referred to a DNNs) and how combining all methods produces excellent results. From the article:

We found that forensic examiners, super-recognizers and DNNs all achieve high accuracy, but each have distinct strengths and weaknesses which make them suited to different real-world face identification roles. Super-recognizers can make decisions quickly and rarely miss targets. Super-recognizers are therefore most suited to time-critical roles where the priority is to avoid false negative errors (misses) in the interests of public safety, such as border control, surveillance, searching for a face in a crowd, and reviewing the output of automated database searches. In these roles, false positive errors—which super-recognizers are prone to making—can often be eliminated quickly by further investigation

NOTE - in the SR system developed by Mike Neville, identifications are researched and peer reviewed. All are also subject to the rigorous identification procedures demanded by the law (in UK, PACE 1984 Code D, Part B).

https://www.nature.com/articles/s41598-023-28632-x