{"id":1226,"date":"2019-08-30T07:49:49","date_gmt":"2019-08-30T07:49:49","guid":{"rendered":"https:\/\/www.piczasso.com\/?p=1226"},"modified":"2020-03-10T11:47:17","modified_gmt":"2020-03-10T11:47:17","slug":"facial-recognition-top-trends-to-shape-the-landscape-in-2019","status":"publish","type":"post","link":"https:\/\/www.piczasso.com\/facial-recognition-top-trends-to-shape-the-landscape-in-2019\/","title":{"rendered":"Facial Recognition – Top Trends to shape the landscape in 2019"},"content":{"rendered":"

The advent of technology has sparked the concept of biometrics among individuals and industries. The biometric signatures like fingerprints, iris scans, voice recognition, digitisation of veins in the palm of the hand and behavioural measurements are being adopted by many sectors. With the revolution of artificial intelligence and blockchain, <\/span>facial recognition<\/span><\/a> is certainly gaining more digital presence than any other biometric technology.\u00a0<\/span><\/p>\n

The reason is facial recognition systems don\u2019t require any physical interaction by the end-user. In addition, the implementation and integration of Facial recognition technology are quite easy which eventually leads to fast verification results within seconds.\u00a0<\/span><\/p>\n

Facial Recognition – To identify and Verify<\/strong><\/p>\n

Biometrics have been used for years now to identify and authenticate persons on the basis of identifiable and recognizable data of a person, unique too. The whole phenomenon lies in two concepts:<\/span><\/p>\n

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Identification<\/b> – Who you are?<\/span><\/li>\n
A<\/span>uthentication<\/b> –\u00a0 You are who you say you are?<\/span><\/li>\n<\/ul>\n
Facial verification works in three basic steps:<\/strong><\/p>\n
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Facial detection<\/b> – It looks out for the human faces in the images or video<\/span><\/li>\n
Capture <\/b>– The 2D or 3D sensor captures the face and then transforms into machine-readable data by applying different machine learning algorithms.<\/span><\/li>\n
Face matching<\/b> – The algorithms check if the two faces (one already stored in the database and another one that is captured) belong to the same person.<\/span><\/li>\n<\/ol>\n
The AI-powered facial verification system can verify the identity of an individual in few seconds by matching facial features like a bridge of the nose, space between eyes, the contour of lips, cheekbones, chin, ears, face depth points, etc.<\/span><\/p>\n
Facial emotion detection and recognition<\/strong><\/p>\n
The basic idea behind the invention of Facial recognition was to identify the individuals but as the technology is improving, it is not limited to just to recognize and confirm human presence. Instead, facial recognition technology is now moving towards image processing for emotion reading. Emotion recognition is different from facial recognition in a way that the goal is to identify the emotion through expressions not to identify the person.\u00a0<\/span><\/p>