Featured image credit: Nathana Rebouças on Unsplash
The São Paulo Public Security Secretariat (SSP) has revealed that facial recognition technology at Allianz Parque, home of football club Palmeiras, has helped arrest 28 criminals at four matches.
The SSP said that one of the criminals had been wanted since March 2020 for international drug trafficking. In addition to the 28 detainees, 42 people were intercepted who have not been complying with court orders.
The technology has also identified 253 missing people. A total of 146,793 tickets were verified by the new tool.
Guilherme Derrite, secretary of public security in São Paulo, said: “This is an action by the police intelligence area with the purpose of making the event location safer, preventing access to people who could compromise public order. The events now feature cutting-edge technology and partnerships between the private and public sectors, at no implementation cost to the state.”
Palmeiras rolled out facial recognition technology at Allianz Parque back in May in an effort to speed up access to the stadium and also combat ticket touting. Palmeiras stated that it was the first club in world football to implement a 100% facial biometric system for stadium access.
Palmeiras president Leila Pereira added: “We invested in implementing facial recognition to protect our greatest asset, which is Palmeiras fans. We want our home to be increasingly safe for all the families who visit it and we are pleased to contribute to public security authorities.”
Last week, the Brazilian Football Confederation (CBF) teamed up with the Brazilian Government to launch a venture that aims to enhance the experience of attending games and wider sporting events.
Projeto Estádio Seguro, or Project Safe Stadium, will run for an initial five-year term and has been forged through a cooperation agreement between the CBF, Ministry of Justice and Public Security (MJSP) and Ministry of Sports. The overriding objective is to bring more security to stadiums through increased monitoring and cross-referencing of fan data.
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