Davis, Josh P. ORCID: 0000-0003-0017-7159 (2017) Super-face-recognisers for policing and security. In: ASIS International, 8 December 2017, Westminster Cathedral, London.

Full text not available from this repository. (Request a copy)

Abstract

The initial evidence in the vast majority of the cases of the 5,000 London 2011 rioters was identification evidence from CCTV by Metropolitan Police Service (MPS) police officers or members of the public. Approximately a third were identified by a few MPS ‘super-recognisers’, who possess exceptional face recognition and face matching skills. As a consequence of their continued success at identifying suspects, the MPS pool of super-recognisers expanded to over 100; while establishing a full time "Unit" led to 1,000s of identifications per annum. This presentation will describe some of the science behind super-recognition, as well as how the abilities of these officers transfer to other operational tasks that draw on face recognition ability (e.g. spotting wanted suspects at the Notting Hill Carnival). Other worldwide police forces have since started their own super-recogniser teams, while in conjunction with new technological advances, security companies and identity verification businesses are employing super-recognisers in order to enhance their operations in circumstances in which identification is a priority.

Item Type:	Conference or Conference Paper (Lecture)
Uncontrolled Keywords:	Super-recognisers, Identification from CCTV, Homeland security
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Faculty / School / Research Centre / Research Group:	Faculty of Education, Health & Human Sciences Faculty of Education, Health & Human Sciences > Applied Psychology Research Group Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM)
Last Modified:	07 Jan 2020 16:17
URI:	http://gala.gre.ac.uk/id/eprint/26445

Actions (login required)

View Item