1. Research and Development
During the 27 months of Smart-Trust project has developed an agile, modular, and highly configurable open architecture platform with the following robust, versatile, and scalable core components:
• Mobile ID services and app: mobile identity enrolment and verification services.
• TrustChain: a blockchain-based infrastructure to assert citizen transactions in a distributed and self-regulatory fashion.
• Workflow Orchestration: a management component catering to stakeholder-driven business rules.
• Analytics and risk-assessment algorithms: deliver professional customized monitoring dashboards as well as detecting passenger trends and anomalies in real-time.
These components were developed to be compatible with other established Vision-Box services including Automated Border Control, Advance Passenger Information Systems (APIS) and the forthcoming Schengen Area required Entry-Exit System (EES).
2. Pilots
In the first year, the mobile ID concept has been tested in (1) internal pilots with hundreds of people, yielding thousands of individual tests, and the seamless flow concept (excluding border) has been tested in pilots in one major international airport. The objectives of the test pilot were:
• To show the level of performance attainable by the Smart Trust biometric system.
• To determine satisfactory performance through testing.
• To demonstrate the feasibility of Mobile ID, encourage more testing to be sponsored, and to promote methodologies contributing to the improvement of biometric identification and seamless clearance.
The integrated pilot happened in the second year of the project, in the departures of terminal 1 of Lisbon Airport, where we invited real passengers to participate in the pilot explaining the smart trust objectives and during the enrolment process, and after their passage in eGates using our mobile ID, they were invited to answer a short questionnaire about the usability of the technology, crucial to identify usability problems, collect qualitative and quantitative data regarding the experience and determine the participant's satisfaction with the pilot and the demonstrated technology.
Face recognition was used as a test in a scenario for positive identification in a normal airport environment, with cooperative non-habituated users. The evaluation was conducted in accordance with the “Best Practices in Testing and Reporting Performance of Biometric Devices” and performed 6,275 transactions over a 40 days period. The pilot results take into account:
• Failure to Enrol and Failure to Acquire Rates.
• Trade-off between matching errors and between decision errors over a range of decision criteria.
• Throughput rates of users in the live application and of the matching algorithm in offline processing.
3. Dissemination and Exploitation
The project team has created impressive awareness through over 21 conferences and industrial events and has created a project website and engaging social network pages. A Marketing Plan was produced detailing the go-to-market strategy, business models and pricing approach.
Smart-Trust Project was designed as technology vector for mobile identification. After assessing the business cases of the various stakeholders, Vision-Box established requirements and defined KPI’s sought by the airports, airlines, government, and border officials. The pilot provided new insight into several factors that affect the performance of established biometric technology using mobile devices and the reaction by travelers to the technology.