Significant growth leads to a unique property move for Human Recognition Systems.
Isavia has instigated a major alteration to its ID pass management process at Keflavik International Airport in Iceland by adopting MTrust, the online identity assurance tool created by Human Recognition Systems.
The MSite team was delighted to receive the award of Sustainable Contractor 2017 from Willmott Dixon, one of the UK's leading construction companies, at their Annual Supply Chain Conference.
The event was held at the Savoy in London on Friday 5th May, bringing together Willmott Dixon's most prized suppliers to ensure the theme of ‘Everything Completed With Pride’ remains central to the success of the organisation.
It's been quite a year for Human Recognition Systems. Our world-renowned suite of M products; MSite, MFlow, MTrust and MForce have been serving a record number of customers throughout the year, and our innovative new product developments like MSite TV and the Fingerprint Touchscreen have received numerous awards.
MSite, our biometric access control and workforce management system for construction sites, has won two awards and was shortlisted for a total of 6 in 2016.
If you tuned in to BBC 2 on the evening of Thursday 24th March, you may have seen our CEO and Founder sharing his expertise in response to the recent Brussels Terror Attacks on Newsnight, the famous current affairs show.
After our CEO and founder, Neil Norman, made a trip to China in September, Human Recognition Systems have been working with the International Festival For Business (IFB), launching in Liverpool this June.
Amazon Web Services (AWS) is one of our key partners in bringing you the most effective cloud based workforce management solutions, and we are pleased to announce the release of a case study by AWS exploring our work together.
A large number of different biometric modalities exist in the marketplace. However the most prevalent in airports are:
Facial Recognition is used across the EU for ePassport eGates and by Human Recognition System for the most accurate journey and queue time measurement within MFlow.