In 2016, Brazilian Customs deployed a tailored solution that uses facial recognition technology at 14 international airports. Once travellers are selected for control, one of the most challenging tasks for Customs officers is to identify and segregate them without disrupting the flow of other travellers. This functionality enables the system to automatically correct API that contains errors such as incorrect passport numbers, complete missing data, and solve other issues that could lead to flawed conclusions. Using a broad range of algorithms, the software is able to analyse received API messages, identify travellers, create a unique traveller archive, and store information on the border movements of every traveller in the archive. But it is not unusual for API to be collected manually by check-in staff, with the risk that manually entered information could contain errors or even be incorrect.Īfter observing several intrinsic characteristics of API during the first two years of the system’s implementation, the RFB developed a brand new software for API data analysis. The best option, from a data quality perspective, is the collection of machine readable information present in many passports, via an automated process. The system in place can analyse both API and PNR data but, with strong privacy protection regulations in place within the European Union (EU) that prevent countries who do not negotiate a bilateral agreement with the EU from receiving PNR data from European airlines, it became clear that the Brazilian Customs administration should focus on how best it should use available API data.ĪPI data is essentially collected at check-in. This cooperation has been formalized through the creation of the National Committee of Airport Authorities (CONAERO) and its technical thematic subcommittees where representatives of all stakeholders that are active in the airport environment meet to discuss issues related to air transportation. The deployment of these tools was done in cooperation with the National Commission of Airport Authorities, generating an important spinoff: the various stakeholders in the airport environment, such as airline companies, airport operators, Customs and immigration services as well as other government agencies and policy regulators, entered into a constructive dialogue. By combining the two technologies, Brazilian Customs managed to achieve vital leaps in efficiencies when it came to the processing of international travellers. Two major investments were made by the Federal Revenue Service of Brazil (RFB): a risk assessment system that would enable Advanced Passenger Information (API) and Passenger Name Records (PNR) to be processed was developed, and a passenger Facial Recognition System (IRIS) was purchased. The remarkable growth of international air traffic in the last decade was already challenging the Customs service whose traditional targeting techniques were deemed inadequate to properly manage the security risk posed by travellers. In 2013, as Brazil was preparing to host the 2014 World Cup and the 2016 Olympic Games, the Brazilian Customs administration started exploring ways to improve air passenger control in order to be able to effectively process the athletes and millions of tourists who were expected to attend or participate in these events.
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