Facial recognition is a technology that allows users to automatically identify (recognize who is in the photo) or verify (confirm that the person in the photo is that person) a person in a photo or video person. Neural networks are used for recognition, which can read and analyze the unique features of a human face, and then compare them to a database. Face recognition is typically used for security purposes in the government sector. However, the use cases of face recognition usage are much broader nowadays. It is used for KYC identity verification, attendance systems, biometric authentication, age verification, access control, fraud detection, and more.

Therefore, face recognition technology is currently popular and many developers wonder which language to choose. In this article, we will describe which languages are typically used for this purpose and tell you about Luxand.cloud insights, and which languages our clients most often use.

Learn more here: Luxand.cloud Insights. Popular Programming Languages For Face Recognition