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Bringing Intelligence to Identity Solutions


Face Recognition

Facial or face recognition analyses characteristics of a person's face image input through a camera and can be broadly classified into static and dynamic/video matching. Facial recognition systems at a very high level work by recognising a human face from scene and extract it. The system measures overall facial structure, distances between eyes, nose, mouth, and jaw edges, then compares these nodal points to the nodal points computed from a database of pictures in order to find a match.

Facial recognition is used for both identification (1:n) and verification (1:1).

Facial Recognition Solutions

HRS has been instrumental in introducing dynamic facial recognition across the aviation sector.

MFlow Journey

MFlow Journey was developed for and with airport operators to measure, manage and ultimately remove bottlenecks to optimise passenger flow. MFlow Journey enables airports to maximise non-aeronautical revenues, improve customer service through reduced passenger queue times and ensure efficient staffing levels. 

The system works by capturing anonymous facial images of passengers entering a designated area. Using facial recognition technology ensures the capture of the maximum number of faces.

The anonymous images are used to track passengers through agreed way-points including check-in, security and passport control. The accurate time taken between way-points gives split and cumulative timings. Alerts are created if journey times are outside set goals to easily identify emerging operational issues before they impact the operation.

Facial Recognition: Driving Innovation

Our facial recognition technology is based on neural computing principles, which combine the advantages of neural and elastic networks. HRS smart surveillance platforms are able to extract faces from a moving or a static environment and run verification checks against those on watch lists and central databases.

Advantages of using facial recognition

  • Facial photographs do not disclose information that the person does not routinely disclose to the general public.
  • The photograph (facial image) is already socially and culturally accepted internationally.
  • It is already collected and verified routinely as part of the MRTD application form process in order to produce a passport to ICAO Document 9303 standards.
  • The public are already aware of its capture and use for identity verification purposes.
  • It is non-intrusive – the user does not have to touch or interact with a physical device for a substantial timeframe to be enrolled.
  • Many States have a legacy database of facial images captured as part of the digitised production of passport photographs which can be be encoded into facial templates and verified against for identity comparison purposes.
  • It can be captured from an endorsed photograph, not requiring the person to be physically present.
  • It allows capture of children’s biometrics without the children having to be present.
  • For watch lists, face (photograph) is generally the only biometric available for comparison.
  • Human verification of the biometric against the photograph/person is relatively simple and a familiar process for border control authorities
(c) 2014 HRS Ltd.