{"id":505,"date":"2015-09-13T20:11:19","date_gmt":"2015-09-14T00:11:19","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/facialnetwork-why-big-brother-will-be-a-big-winner\/"},"modified":"2015-09-13T20:12:10","modified_gmt":"2015-09-14T00:12:10","slug":"facialnetwork-why-big-brother-will-be-a-big-winner","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/facialnetwork-why-big-brother-will-be-a-big-winner\/","title":{"rendered":"FacialNetwork: Why Big Brother will be a Big Winner"},"content":{"rendered":"<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/face.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-483\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/face.png\" alt=\"FacialNetwork\" width=\"1234\" height=\"531\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/face.png 1234w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/face-300x129.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/face-1024x441.png 1024w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/face-600x258.png 600w\" sizes=\"auto, (max-width: 1234px) 100vw, 1234px\" \/><\/a><\/p>\n<p>Facial recognition itself is nothing new \u2013 the technology has been around since the 1960\u2019s. The first \u201csemi-automated system for face recognition required administrators to locate features on photographs before it calculated distances and ratios to a common reference point, which were then compared to reference data. [\u2026] The problem with these early solutions was that measurements and locations were manually computed. Thanks to technological advancement, this is no longer the case \u2013 software today allows for speed of recognition and scalability of the technology.<\/p>\n<p>Facial recognition combined with the power of cloud computing, translates into a totally different animal \u2013 one that <a href=\"http:\/\/facialnetwork.com\">FacialNetwork<\/a> is poised to dominate. The &#8220;technology is more than disruptive, [and] FacialNetwork is the industry leader in an industry that doesn&#8217;t even exist yet &#8211; cloud-based facial recognition.\u201d<a href=\"#_ftn1\" name=\"_ftnref1\">[1]<\/a><\/p>\n<p>FacialNetwork\u2019s software can automatically identify individuals from digital images or video capture. \u201cUnlike fingerprinting and voice recognition, facial recognition software yields nearly instant results because subject consent is not required.\u201d<a href=\"#_ftn2\" name=\"_ftnref2\">[2]<\/a> &#8220;FacialNetwork is at the confluence of three pivotal technology trends and is the only company leveraging the latest advancements in mobile, cloud and big data to create practical facial recognition applications.&#8221;<a href=\"#_ftn3\" name=\"_ftnref3\">[3]<\/a><\/p>\n<p><strong>Why is FacialNetwork a winner?<\/strong><\/p>\n<p>It has effectively identified and built ways of creating a scalable pool of data that will be of increasing value to a variety of industries. It has done so by (1) building a baseline of facial data and profiles \u2013 sourced from publicly available information &#8211; to create free apps that will attract users. These users, in turn, will (2) enter more data into the FacialNetwork ecosystem, making the entire dataset and algorithms more powerful. As this loop continues, the system becomes more and more powerful, and valuable. As this value is created, FacialNetwork can then turn to (3) effective value capturing mechanisms, such as selling data or services \u2013 a value creation and capture model very much \u00e0 la Google.<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/chart2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-485\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/chart2.png\" alt=\"Value creation and capture\" width=\"900\" height=\"663\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/chart2.png 900w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/chart2-300x221.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/chart2-600x442.png 600w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/p>\n<p><strong>Value creation<\/strong><\/p>\n<p><strong>\u00a0<a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/speed-and-scale.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-488\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/speed-and-scale.png\" alt=\"speed and scale\" width=\"900\" height=\"264\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/speed-and-scale.png 900w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/speed-and-scale-300x88.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/speed-and-scale-600x176.png 600w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/strong><\/p>\n<p>FacialNetwork\u2019s value creation is built on a foundation of the speed and scale of its facial recognition search engine. Next, building its \u201cfacial recognition compute cloud for mobile and wearable devices [\u2026] has prepared the platform for a large-scale user base.\u201d<a href=\"#_ftn4\" name=\"_ftnref4\">[4]<\/a> The fact that \u201cFacialNetwork is pioneering facial recognition on mobile and wearables\u201d<a href=\"#_ftn5\" name=\"_ftnref5\">[5]<\/a> is key, versus Facebook, for instance, which already uses large scale recognition, but whose application of the technology stops \u201con-screen.\u201d FacialNetwork is going beyond this, to create seamless integration between online and offline identities.<\/p>\n<p>Just as Google created value by offering its search and many applications to individuals for free, FacialNetwork will offer apps built to be used flexibly across devices, which they believe will be attractive to individuals. Some examples are included below:<strong><em>\u00a0<\/em><\/strong><strong><em><br \/>\n<a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/nametagapp.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-493 alignleft\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/nametagapp.png\" alt=\"nametagapp\" width=\"163\" height=\"99\" \/><\/a><\/em><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Demo &#8211; <a href=\"https:\/\/www.youtube.com\/watch?v=pVwBXr_nU9Q\">https:\/\/www.youtube.com\/watch?v=pVwBXr_nU9Q<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>The NameTag app allows you to identify anyone physically around you in real time \u2013 if his\/her face and any data are present in FacialNetwork, you enter a photo using your device, and his\/her identity is instantly returned.<\/p>\n<p><strong><em><br \/>\n<a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/reminderID.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-497 alignleft\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/reminderID.png\" alt=\"reminderID\" width=\"131\" height=\"120\" \/><\/a><\/em><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/reminder2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-501\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/reminder2.png\" alt=\"reminder2\" width=\"900\" height=\"507\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/reminder2.png 900w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/reminder2-300x169.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/reminder2-600x338.png 600w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><a href=\"#_ftn6\" name=\"_ftnref6\">[6]<\/a><\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/sherlock.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-503\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/sherlock.png\" alt=\"sherlock\" width=\"900\" height=\"509\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/sherlock.png 900w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/sherlock-300x170.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2015\/09\/sherlock-600x339.png 600w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/p>\n<p>You can imagine using this app through a wearable such as GoogleGlass \u2013 information about the individual will immediately be presented, akin to how Sherlock villain Charles Augustus Magnusson could pull up his adversaries\u2019 \u201cpressure points\u201d in real time on his glasses. Other applications could include assisting those with memory-related illnesses to remember names.<\/p>\n<p>It\u2019s not difficult to extend one\u2019s imagination to numerous other possibilities of what may be offered to users \u2013 from hybrid facial recognition authentication that could make current password systems obsolete, to aiding those with vision problems.<\/p>\n<p><strong>Value Capturing<\/strong><\/p>\n<p>Value may be captured by using this powerful and ever growing facial data \u2013 tied to people\u2019s online <em>and<\/em> offline identities \u2013 by selling \u201dprofiles\u201d, or through paid services; which could span across numerous industries, including retail (offering retailers a way to match a \u201cprofile\u201d with an individual who walks into a physical store), hospitality (\u201callowing the guest services industry to instantly identify loyal customers and enable enhanced, personalized service\u201d<a href=\"#_ftn7\" name=\"_ftnref7\">[7]<\/a>), advertisers of all sorts (think Tom Cruise in Minority Report), security, banking, healthcare, and on and on.<\/p>\n<p>If FacialNetwork does indeed succeed in its mission of indexing faces linked to profiles, gaining users through its apps, and capturing value through paid services, it does look as though Big Brother will be the Big Winner, and anonymity, the Big Loser. The impact of legislation and the \u201cright to one\u2019s face\u201d and data, which lags behind technology in this arena, remains to be seen.<\/p>\n<p><a href=\"#_ftnref1\" name=\"_ftn1\">[1]<\/a> Source: <a href=\"http:\/\/websphere.sys-con.com\/node\/3153499\">http:\/\/websphere.sys-con.com\/node\/3153499<\/a><\/p>\n<p><a href=\"#_ftnref2\" name=\"_ftn2\">[2]<\/a> Source: https:\/\/www.techopedia.com\/definition\/26948\/facial-recognition-software<\/p>\n<p><a href=\"#_ftnref3\" name=\"_ftn3\">[3]<\/a> Source: <a href=\"http:\/\/websphere.sys-con.com\/node\/3153499\">http:\/\/websphere.sys-con.com\/node\/3153499<\/a><\/p>\n<p><a href=\"#_ftnref4\" name=\"_ftn4\">[4]<\/a> Source: Kevin Alan Tussy, CEO of FacialNetwork, http:\/\/www.prnewswire.com\/news-releases\/facialnetwork-releases-new-demo-of-facial-recognition-app-nametag-on-google-glass-receives-cease-and-desist-from-facebook-274649581.html<\/p>\n<p><a href=\"#_ftnref5\" name=\"_ftn5\">[5]<\/a> Source: Kevin Alan Tussy, CEO of FacialNetwork, http:\/\/www.prnewswire.com\/news-releases\/facialnetwork-releases-new-demo-of-facial-recognition-app-nametag-on-google-glass-receives-cease-and-desist-from-facebook-274649581.html<\/p>\n<p><a href=\"#_ftnref6\" name=\"_ftn6\">[6]<\/a> Source: http:\/\/venturebeat.com\/2013\/04\/13\/marketing-facial-recognition\/<\/p>\n<p><a href=\"#_ftnref7\" name=\"_ftn7\">[7]<\/a> Source: http:\/\/facialnetwork.com<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&quot;FacialNetwork is at the confluence of three pivotal technology trends and is leveraging the latest advancements in mobile, cloud and big data to create practical facial recognition applications.&quot;<\/p>\n","protected":false},"author":80,"featured_media":507,"comment_status":"open","ping_status":"closed","template":"","categories":[214,213,210,211,212],"class_list":["post-505","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-anonymity","category-bigbrother","category-facialnetwork","category-facialrecognition","category-winners"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/digital-winners-and-losers\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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