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Biometric identification technology provides a secure method for eligible citizens to vote., However, it must be trained on diverse data sets to accurately recognize the biometric data of individuals from diverse ethnic backgrounds and avoid excluding certain groups. This is essential to maintain public trust in the democratic system. Learn more by downloading our fraud prevention use case here.
Biometric identification technology can provide a secure method for eligible citizens to vote. However, it must be trained on diverse data sets to accurately recognize the biometric data of individuals from diverse ethnic backgrounds to avoid excluding certain groups.
Africa has the most diverse ethnicities on the planet; therefore, a properly trained dataset is key to having a useful model. Through biometrics, liveness detection data can be accrued to ensure an all-inclusive approach and avoid false data.
If properly implemented, governments can expect less fraud tied to biometrics data, more accuracy, and speedier implementation of all biometrics efforts, from election to data collection.
Please fill in the form below to access our use case study on Biometric AI to prevent Fraud in African Elections
