Biometrics address a longstanding concern to prove one's identity, irrefutably, by using what makes a person unique. Over the past few years, biometrics have become an essential part of daily life, as more and more people leverage biometric authentication to gain access to devices and services. Today, biometric identification is being combined with other advanced technologies such as behavioural detection to serve an array of purposes, including healthcare, law enforcement, and border control.
In the law enforcement domain, the undisputable power of biometrics is being fully harnessed by Police Authorities and forensic investigators who have been relying since the 1980s on the AFIS to tackle illegal activities. However, matching the evidence - often smudged, incomplete, or deposited on top of other markings - with complete prints in AFIS databases is not a simple task. To overcome this, recently forensic investigators have resorted to the combination of multiple biometric modalities such as face and voice biometrics.
TENSOR proposes going beyond the traditional fingerprint-based identification by combining multiple emerging biometric modalities such as face, voice, and gait biometrics, through advanced AI to produce court-proof evidence. More specifically, lawful evidence derived from CCTVs (face, gait, voice), mobile devices (behavioural patterns) and fingerprints, will be fused with more or less distinctive features towards accurate and multimodal identification.
The TENSOR solutions are complemented by the European Biometric Data Space, which will enable seamless sharing of biometric data between security stakeholders, allowing for faster and more accurate identification of suspects.
