{"id":21164,"date":"2023-10-19T09:38:45","date_gmt":"2023-10-19T07:38:45","guid":{"rendered":"https:\/\/www.galgus.ai\/?p=21164"},"modified":"2023-10-20T09:40:07","modified_gmt":"2023-10-20T07:40:07","slug":"galgus-fingerprint-counting-unconnected-wifi-devices","status":"publish","type":"post","link":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/","title":{"rendered":"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices"},"content":{"rendered":"\n<p>One of the biggest challenges in applying WiFi to <a href=\"https:\/\/www.galgus.ai\/en\/locationanalytics\/\">count and track mobile devices<\/a> is to be able to do so accurately with those that are not connected to the network and that randomise (spoof) their MAC addresses. If these are not properly accounted for, we can deviate a lot from the real figures.<\/p>\n\n\n\n<p>In fact, this is <strong>a problem that affects 95% of modern smartphones<\/strong> and prevents most WiFi analytics solutions from obtaining useful metrics. This behaviour causes these devices to pretend there are many more or fewer devices than there really are, by continually changing their MAC addresses to distort the data.<\/p>\n\n\n\n<p>To make an analogy, it would be as if most cars have constantly changing number plates to fool traffic surveillance systems.<\/p>\n\n\n\n<p>To this end, <a href=\"https:\/\/www.galgus.ai\/en\/\">Galgus<\/a> has developed our patented Fingerprint technology. A completely <strong>disruptive solution worldwide<\/strong>, recognised by Gartner. It creates a unique and stable fingerprint for each device, regardless of the MACs it shows and even if several devices of exactly the same type enter the analysis area.<\/p>\n\n\n\n<p>Continuing with the analogy, it would be like building a reliable identifier for each car based on make and model, type of rims, colour, scratches, etc., without looking at the number plate as we know it is not reliable.<\/p>\n\n\n\n<p>This is why we are able to track, locate and count devices much more reliably. We use <strong>artificial intelligence<\/strong> algorithms developed and patented (in Europe and the <a href=\"https:\/\/www.galgus.ai\/en\/blog\/united-states-patent-location-presence-analytics\/\">USA<\/a>) by our R&amp;D team.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Metrics with an accuracy not offered by other solutions on the market<\/h2>\n\n\n\n<p>The figures say it all: with Galgus Fingerprint we achieve<strong> 100% accuracy in the connected count and around 95% in the unconnected count,<\/strong> which is an order of magnitude<strong> between 8x and 12x higher than other WiFi analytics solutions<\/strong>, which are less than 10% accurate.<\/p>\n\n\n\n<p>These results have been published and contrasted by the scientific community thanks to their defence at the <a href=\"https:\/\/www.radiowirelessweek.org\/\">IEEE Radio &amp; Wireless Week<\/a> conference.<\/p>\n\n\n\n<p>These figures make it possible to produce<strong> real-time and historical metrics<\/strong> of high value for counting, presence detection, tracking, visitor segmentation, calculation of dwell times, heat maps, visitor funnels, recurrence, movement between areas (journey), correlation between areas, benchmarking between similar venues, etc.<\/p>\n\n\n\n<p>This data can be compared with other available sources of information (weather, security camera, ticketing or pricing data, etc.) and exploited to improve the design and operation of the environment.<\/p>\n\n\n\n<p>All analytics can be accessed both from <a href=\"https:\/\/www.galgus.ai\/en\/cloud-manager-2\/\">our cloud dashboard<\/a> and from API calls.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"688\" src=\"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint.jpg\" alt=\"\" class=\"wp-image-21157\" srcset=\"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint.jpg 1024w, https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-300x202.jpg 300w, https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-768x516.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">A wide range of applications<\/h2>\n\n\n\n<p>The applications of this technology are multiple and cross-cutting, as it can be adapted to a wide range of scenarios.<\/p>\n\n\n\n<p>These include the ability to locate WiFi devices in real time in different environments, such as smart cities, airports, shopping centres and hotels, using only the WiFi network deployed.<\/p>\n\n\n\n<p>All of <strong>this without requiring <\/strong>users <strong>to request permissions<\/strong>, <strong>install invasive applications<\/strong>, activate their GPS or Bluetooth, or <strong>use the device.<\/strong> <strong>They don&#8217;t even need to have the WiFi button on.<\/strong><\/p>\n\n\n\n<p>In conclusion, with the Galgus Fingerprint we have managed to break down a barrier that makes it possible to get the most out of the investment in a WiFi deployment that goes beyond providing advanced connectivity for challenging environments.<\/p>\n\n\n\n<p>If you want to know more about this solution, we encourage you to<a href=\"https:\/\/www.galgus.ai\/en\/contact-us\/\"> contact our team,<\/a> who will give you all the details you need to know.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>One of the biggest challenges in applying WiFi to count and track mobile devices is to be able to do so accurately with those that are not connected to the network and that randomise (spoof) their MAC addresses. If these are not properly accounted for, we can deviate a lot from the real figures. In [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":21156,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[24],"tags":[],"class_list":["post-21164","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices | Galgus<\/title>\n<meta name=\"description\" content=\"A disruptive solution with which we achieve 100% accuracy in counting connected devices and 95% accuracy in non-connected devices.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices | Galgus\" \/>\n<meta property=\"og:description\" content=\"A disruptive solution with which we achieve 100% accuracy in counting connected devices and 95% accuracy in non-connected devices.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/\" \/>\n<meta property=\"og:site_name\" content=\"Galgus\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/GalgusCHT\" \/>\n<meta property=\"article:published_time\" content=\"2023-10-19T07:38:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-20T07:40:07+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"833\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Jesus Serrano - EC\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@galgus_\" \/>\n<meta name=\"twitter:site\" content=\"@galgus_\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jesus Serrano - EC\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/\"},\"author\":{\"name\":\"Jesus Serrano - EC\",\"@id\":\"https:\/\/www.galgus.ai\/en\/#\/schema\/person\/cc68f54945f46fd8f21a16f8fe6f1536\"},\"headline\":\"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices\",\"datePublished\":\"2023-10-19T07:38:45+00:00\",\"dateModified\":\"2023-10-20T07:40:07+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/\"},\"wordCount\":572,\"publisher\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/\",\"url\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/\",\"name\":\"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices | Galgus\",\"isPartOf\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg\",\"datePublished\":\"2023-10-19T07:38:45+00:00\",\"dateModified\":\"2023-10-20T07:40:07+00:00\",\"description\":\"A disruptive solution with which we achieve 100% accuracy in counting connected devices and 95% accuracy in non-connected devices.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#primaryimage\",\"url\":\"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg\",\"contentUrl\":\"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg\",\"width\":1024,\"height\":833,\"caption\":\"Galgus Fingerprint, la tecnolog\u00eda que aporta una precisi\u00f3n nunca vista para el conteo de dispositivos WiFi no conectados\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Portada\",\"item\":\"https:\/\/www.galgus.ai\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.galgus.ai\/en\/#website\",\"url\":\"https:\/\/www.galgus.ai\/en\/\",\"name\":\"Galgus\",\"description\":\"Expertos en WiFi\",\"publisher\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.galgus.ai\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.galgus.ai\/en\/#organization\",\"name\":\"Galgus\",\"url\":\"https:\/\/www.galgus.ai\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.galgus.ai\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.galgus.net\/wp-content\/uploads\/2020\/12\/galgus_logo.png\",\"contentUrl\":\"https:\/\/www.galgus.net\/wp-content\/uploads\/2020\/12\/galgus_logo.png\",\"width\":425,\"height\":192,\"caption\":\"Galgus\"},\"image\":{\"@id\":\"https:\/\/www.galgus.ai\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/GalgusCHT\",\"https:\/\/x.com\/galgus_\",\"https:\/\/www.instagram.com\/galgus\/\",\"https:\/\/www.linkedin.com\/company\/11042569\/\",\"https:\/\/www.youtube.com\/channel\/UC-YtD_RCpb4X8hvalKLv02g\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.galgus.ai\/en\/#\/schema\/person\/cc68f54945f46fd8f21a16f8fe6f1536\",\"name\":\"Jesus Serrano - EC\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.galgus.ai\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/9b578f03ff46f1727d30412e539a730a3aa6638daed8058da3d80eae4a7fa2b4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/9b578f03ff46f1727d30412e539a730a3aa6638daed8058da3d80eae4a7fa2b4?s=96&d=mm&r=g\",\"caption\":\"Jesus Serrano - EC\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices | Galgus","description":"A disruptive solution with which we achieve 100% accuracy in counting connected devices and 95% accuracy in non-connected devices.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/","og_locale":"en_US","og_type":"article","og_title":"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices | Galgus","og_description":"A disruptive solution with which we achieve 100% accuracy in counting connected devices and 95% accuracy in non-connected devices.","og_url":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/","og_site_name":"Galgus","article_publisher":"https:\/\/www.facebook.com\/GalgusCHT","article_published_time":"2023-10-19T07:38:45+00:00","article_modified_time":"2023-10-20T07:40:07+00:00","og_image":[{"width":1024,"height":833,"url":"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg","type":"image\/jpeg"}],"author":"Jesus Serrano - EC","twitter_card":"summary_large_image","twitter_creator":"@galgus_","twitter_site":"@galgus_","twitter_misc":{"Written by":"Jesus Serrano - EC","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#article","isPartOf":{"@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/"},"author":{"name":"Jesus Serrano - EC","@id":"https:\/\/www.galgus.ai\/en\/#\/schema\/person\/cc68f54945f46fd8f21a16f8fe6f1536"},"headline":"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices","datePublished":"2023-10-19T07:38:45+00:00","dateModified":"2023-10-20T07:40:07+00:00","mainEntityOfPage":{"@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/"},"wordCount":572,"publisher":{"@id":"https:\/\/www.galgus.ai\/en\/#organization"},"image":{"@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#primaryimage"},"thumbnailUrl":"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg","inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/","url":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/","name":"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices | Galgus","isPartOf":{"@id":"https:\/\/www.galgus.ai\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#primaryimage"},"image":{"@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#primaryimage"},"thumbnailUrl":"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg","datePublished":"2023-10-19T07:38:45+00:00","dateModified":"2023-10-20T07:40:07+00:00","description":"A disruptive solution with which we achieve 100% accuracy in counting connected devices and 95% accuracy in non-connected devices.","breadcrumb":{"@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#primaryimage","url":"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg","contentUrl":"https:\/\/www.galgus.ai\/wp-content\/uploads\/2023\/10\/Galgus-Fingerprint-la-tecnologia-que-aporta-una-precision-nunca-vista-para-el-conteo-de-dispositivos-WiFi-no-conectados.jpg","width":1024,"height":833,"caption":"Galgus Fingerprint, la tecnolog\u00eda que aporta una precisi\u00f3n nunca vista para el conteo de dispositivos WiFi no conectados"},{"@type":"BreadcrumbList","@id":"https:\/\/www.galgus.ai\/en\/blog\/galgus-fingerprint-counting-unconnected-wifi-devices\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Portada","item":"https:\/\/www.galgus.ai\/en\/"},{"@type":"ListItem","position":2,"name":"Galgus Fingerprint, the technology that brings unprecedented accuracy for counting unconnected WiFi devices"}]},{"@type":"WebSite","@id":"https:\/\/www.galgus.ai\/en\/#website","url":"https:\/\/www.galgus.ai\/en\/","name":"Galgus","description":"Expertos en WiFi","publisher":{"@id":"https:\/\/www.galgus.ai\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.galgus.ai\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.galgus.ai\/en\/#organization","name":"Galgus","url":"https:\/\/www.galgus.ai\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.galgus.ai\/en\/#\/schema\/logo\/image\/","url":"https:\/\/www.galgus.net\/wp-content\/uploads\/2020\/12\/galgus_logo.png","contentUrl":"https:\/\/www.galgus.net\/wp-content\/uploads\/2020\/12\/galgus_logo.png","width":425,"height":192,"caption":"Galgus"},"image":{"@id":"https:\/\/www.galgus.ai\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/GalgusCHT","https:\/\/x.com\/galgus_","https:\/\/www.instagram.com\/galgus\/","https:\/\/www.linkedin.com\/company\/11042569\/","https:\/\/www.youtube.com\/channel\/UC-YtD_RCpb4X8hvalKLv02g"]},{"@type":"Person","@id":"https:\/\/www.galgus.ai\/en\/#\/schema\/person\/cc68f54945f46fd8f21a16f8fe6f1536","name":"Jesus Serrano - EC","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.galgus.ai\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/9b578f03ff46f1727d30412e539a730a3aa6638daed8058da3d80eae4a7fa2b4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/9b578f03ff46f1727d30412e539a730a3aa6638daed8058da3d80eae4a7fa2b4?s=96&d=mm&r=g","caption":"Jesus Serrano - EC"}}]}},"_links":{"self":[{"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/posts\/21164","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/comments?post=21164"}],"version-history":[{"count":2,"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/posts\/21164\/revisions"}],"predecessor-version":[{"id":21166,"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/posts\/21164\/revisions\/21166"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/media\/21156"}],"wp:attachment":[{"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/media?parent=21164"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/categories?post=21164"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.galgus.ai\/en\/wp-json\/wp\/v2\/tags?post=21164"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}