Rapid advancements in biometric technology and adoption of cloud-based systems are key factors boosting global market revenue growth. These systems are preferred over other biometric applications such as voice recognition, fingerprint scanning, or iris recognition due to easy deployment and non-contact process. Technological developments in machine learning and artificial intelligence have brought an active expansion of facial recognition systems. Law enforcement agencies have been using face recognition more often to identify the thieves or suspects captured through CCTV, social media, traffic cameras among others. Facial recognition systems are in high demand owing to the increasing concerns about security and rising number of threats. These systems are deployed to identify people in videos, photos, or in real-time and are widely used in various sectors such as law enforcement, retail and e-commerce, BSFI, automotive, healthcare and medical sector, media, and entertainment. It uses machine learning algorithms to search, capture, and analyze facial contours and match it with the pre-existing database. Facial recognition is a biometric software application that is capable of verifying or identifying a person by its facial features against a database of faces and is typically used to authenticate users through ID verification services.
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