{"id":3769,"date":"2021-03-08T13:50:16","date_gmt":"2021-03-08T13:50:16","guid":{"rendered":"https:\/\/way2vat.com\/?p=3769"},"modified":"2021-03-08T13:50:16","modified_gmt":"2021-03-08T13:50:16","slug":"new-patent-10936863","status":"publish","type":"post","link":"https:\/\/way2vat.com\/new-patent-10936863\/","title":{"rendered":"New Patent 10,936,863"},"content":{"rendered":"
\n

We are very proud and excited to report that our latest patent<\/a><\/span>\u00a0was published<\/span>.\u00a0<\/span><\/p>\n

This marks the innoVAT\\GSTive work being done in our machine learning and data science group to advance the public knowledge of information extra<\/span>ction from document images.\u00a0<\/span>
\nThe technology described in\u00a0<\/span>the patent is central in our automated end-to-end VAT\\GST reclaim product, and drives our business.<\/span><\/p>\n<\/div>\n

<\/div>\n
\n

What the patent is all about<\/span>\u00a0<\/b><\/p>\n<\/div>\n

\n

This patent describes how convolutional neural networks can be used to extract information from invoice and receipt images.\u00a0<\/span>
\nBy giving the convolutional network visual, geometric, linguistic and semantic information, we teach it to\u00a0<\/span>find<\/span>\u00a0a representation for\u00a0<\/span>key information in the invoice: Total amount, VAT\\GST amount, and so on.<\/span><\/p>\n

The network is tasked with finding in the image the positions of these fields, by marking the pixels that cover them.<\/span>
\nWe use an inverse-<\/span>softmax<\/span>\u00a0loss function to allow the network to possibly find multiple locations for each field.<\/span><\/p>\n

This deep learning technology has shown a very big increase in performance over existing and off-the-shelf information extraction solutions.<\/span><\/p>\n<\/div>\n

\n

The value to our partners and customers.<\/b>
\nCutting-edge technology\u00a0for extracting information from invoices makes our product for VAT\\GST reclaim faster, more economical and higher performance.
\n<\/span><\/p>\n<\/div>\n

\n

Our clients and partners benefit directly from the technology by receiving their claims\u00a0<\/span>with<\/span>\u00a0quicker turnaround times\u00a0<\/span>and\u00a0<\/span>with\u00a0<\/span>more invoices processed compared to other solutions out there.<\/span><\/p>\n<\/div>\n

\n

We\u2019re looking forward to\u00a0<\/span>soon\u00a0<\/span>share more\u00a0<\/span>information of\u00a0<\/span>patented technology from our research team at<\/span>\u00a0<\/span>WAY2VAT<\/span>,<\/span>\u00a0and the way it<\/span>\u00a0<\/span>revolutioniz<\/span>es\u00a0<\/span>the VAT\\GST reclaim process.<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

We are very proud and excited to report that our latest patent\u00a0was published.\u00a0 This marks the innoVAT\\GSTive work being done in our machine learning and data science group to advance the public knowledge of information extraction from document images.\u00a0 The technology described in\u00a0the patent is central in our automated end-to-end VAT\\GST reclaim product, and drives […]<\/p>\n","protected":false},"author":1,"featured_media":3770,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[26,1],"tags":[],"class_list":["post-3769","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-vatgst"],"acf":[],"yoast_head":"\nNew Patent 10,936,863 - w2v<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/way2vat.com\/new-patent-10936863\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New Patent 10,936,863 - w2v\" \/>\n<meta property=\"og:description\" content=\"We are very proud and excited to report that our latest patent\u00a0was published.\u00a0 This marks the innoVATGSTive work being done in our machine learning and data science group to advance the public knowledge of information extraction from document images.\u00a0 The technology described in\u00a0the patent is central in our automated end-to-end VATGST reclaim product, and drives […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/way2vat.com\/new-patent-10936863\/\" \/>\n<meta property=\"og:site_name\" content=\"w2v\" \/>\n<meta property=\"article:published_time\" content=\"2021-03-08T13:50:16+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/way2vat.com\/wp-content\/uploads\/2021\/03\/patent-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"627\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"elad@finext.co.il\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"elad@finext.co.il\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/way2vat.com\/new-patent-10936863\/\",\"url\":\"https:\/\/way2vat.com\/new-patent-10936863\/\",\"name\":\"New Patent 10,936,863 - 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