{"id":3438,"date":"2019-12-19T16:15:10","date_gmt":"2019-12-19T13:15:10","guid":{"rendered":"https:\/\/imagga.com\/blog\/?p=3438"},"modified":"2019-12-19T17:27:02","modified_gmt":"2019-12-19T14:27:02","slug":"how-imagga-facial-recognition-works","status":"publish","type":"post","link":"https:\/\/imagga.com\/blog\/how-imagga-facial-recognition-works\/","title":{"rendered":"How Imagga Facial Recognition Works?"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">We\u2019re excited to share that we\u2019ve just added another powerful image recognition capability to our offering \u2013 <a href=\"https:\/\/imagga.com\/solutions\/face-recognition-and-detection\">Facial Recognition API<\/a> for face detection and recognition of faces in still images and live stream videos.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Using the API, companies can implement face recognition functionality in their web, desktop, and mobile applications and systems.<\/span><\/p>\n<h1><b>How the facial recognition algorithm sees a face?<\/b><\/h1>\n<p><span style=\"font-weight: 400;\">The face recognition algorithm \u201csees\u201d a face as a complex numerical code containing hundreds of facial measurements. Examples of facial measurements include: the distance between the eyes, the width of the nose, length of the jawline, depth of the eye sockets, shape of your cheekbones, and more. These specific facial measurements are called nodal points, and each face has 500 such points. The unique combination of all these measurements creates an anonymous numerical code, which represents the face in the database.\u00a0<\/span><\/p>\n<h1><b>How facial recognition works?<\/b><\/h1>\n<ol>\n<li><strong>Face detection<\/strong><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">First, the face is extracted from the rest of the image using a technology called object localization.\u00a0<\/span><\/li>\n<li><strong>Face analysis<\/strong><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">Often the head is tilted, which can distort the data, so the technology locates the face attributes like eyes, nose and ears to correct the face rotation or tilt. Then it takes the facial<\/span> <span style=\"font-weight: 400;\">measurements of the reference image and creates the unique numerical code we mentioned above.\u00a0<\/span><\/li>\n<li><strong>Comparison<\/strong><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">The last step is looking for the exact match or one with a high level of confidence in a pre-defined or custom, still or dynamic database.<\/span><\/li>\n<\/ol>\n<h1><b>Is face verification possible with Imagga Facial Recognition API?<\/b><\/h1>\n<p><span style=\"font-weight: 400;\">Face verification compares a reference image of a face to another already present in the database and checks if there is a match. Our API now supports this functionality out-of-the-box and you can implement it directly in your application. <a href=\"https:\/\/docs.imagga.com\/?python#faces-similarity\" target=\"_blank\" rel=\"noopener noreferrer\">Read how.<\/a><\/span><\/p>\n<h1><b>Facial recognition use cases<\/b><\/h1>\n<p><span style=\"font-weight: 400;\">The facial recognition market <a href=\"https:\/\/www.marketsandmarkets.com\/Market-Reports\/facial-recognition-market-995.html\" target=\"_blank\" rel=\"noopener noreferrer\">is expected to grow<\/a> at a fast pace due to increased adoption in both law enforcement and non-law enforcement sectors.<\/span><\/p>\n<p><img class=\"alignnone size-full wp-image-3439\" src=\"https:\/\/imagga.com\/blog\/wp-content\/uploads\/2019\/12\/advanced-facial-recognition-market6.jpg\" alt=\"facial recognition market expectation\" width=\"650\" height=\"358\" \/><\/p>\n<p>Source: Markets and Markets<\/p>\n<p><span style=\"font-weight: 400;\">Editorial Management Systems use facial recognition to identify and recognize celebrities, politicians, and other public figures\u00a0\u2014\u00a0for efficient organization and search in large media archives.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It can be used for personal photo organizations by companies such as telecoms allowing their users to organize their personal photos by the people in the images.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the video surveillance and analysis sector, facial recognition can be used for the analysis of video footage to identify key people and their attributes like age, gender and ethnicity.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Another typical application of facial recognition\u00a0is access control. The technology can be used to ensure that only authorized individuals enter facilities like bank vaults, labs, and other sensitive locations, as well as for the time-tracking of employees.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Read more about the <\/span><a href=\"https:\/\/imagga.com\/blog\/image-recognition-trends-in-2020\/\"><span style=\"font-weight: 400;\">image recognition trends in 2020<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You have a case for image recognition? <a href=\"mailto: sales@imagga.com\">Let\u2019s talk\u00a0<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We\u2019re excited to share that we\u2019ve just added another powerful image recognition capability to our offering \u2013 Facial Recognition API [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":3440,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How Imagga Facial Recognition Works? 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