kasvojentunnistusjärjestelmä

Kasvojentunnistusjärjestelmä (face‑recognition system) is a biometric technology that captures, processes, and compares facial images to identify or verify individuals. The system typically comprises a camera or depth sensor, a pre‑processing module to detect and align faces, a feature‑extraction algorithm that converts the face into a numerical descriptor, and a matching engine that searches a database of stored descriptors. Modern approaches use deep learning, often convolutional neural network architectures, to achieve high accuracy even under varying lighting, pose, and occlusion.

Applications of kasvojentunnistusjärjestelmä include security and access control, law enforcement, mobile device authentication, and customer analytics in retail and banking. In Finland, the technology is employed in select police investigations, border control, and identity‑verification processes for government services. The use of facial recognition is regulated by the General Data Protection Regulation (GDPR) and the Finnish Act on the collection of biometrics, which requires that individuals be informed, that data collection serves a legitimate purpose, and that appropriate safeguards are in place.

Key technical considerations are image quality, privacy risk, potential bias against certain demographic groups, and the risk of spoofing attacks. Many systems incorporate liveness detection techniques such as 3D shape estimation or micro‑movement analysis to mitigate spoofing. Ongoing research focuses on improving robustness to varied lighting, expression, aging, and in minimizing false acceptance and false rejection rates while ensuring compliance with privacy standards.