Human Recognition Systems (HRS) has successfully deployed its identity registration platform, mobile biometric identification, for QA Business School to help ensure compliance with the UK Border Agency's (UKBA) Tier 4 regulations for international student sponsorship.
Leveraging rugged, handheld touchscreen devices with an integrated fingerprint reader, mobile biometric identification is the first solution of its kind to offer a truly mobile enrolment and identification capability; ideal for the classroom environment to quickly capture student attendance during teaching sessions and to flag unauthorized absence, required for UKBA compliance.
HRS mobile biomtric identification provides a versatile identity registration, management and assurance solution to those applications where the cost of failing to properly manage identity is significant. Within the education sector, failure to properly monitor the attendance of Tier 4 students can lead to a reduction in the number of Confirmation of Acceptance for Studies (CAS) an institution can assign, in addition to the risk of the institution having their sponsorship licence for international students revoked, such as the recent revocation of Highly Trusted Status at London Metropolitan University. The resulting impact to the institution is a substantial loss in revenue, particularly if a large proportion of their student intake are international students.
Mike Brown, IT Director of QA commented “monitoring student attendance not only ensures conformity to the relevant UKBA regulations, it also allows us to track the student's progress throughout their studies – there is a proven correlation between course attendance and excellent academic performance.”
Providing a streamlined biometric identity registration and workflow platform, HRS ensures that each individual registers their identity according to the Identity Policy set out by the organisation. The identification is therefore suited to a multitude of business applications in addition to the education sector, including tackling fraud in government identification programmes such as benefits issuance.