{"id":16027,"date":"2021-11-16T12:56:32","date_gmt":"2021-11-16T12:56:32","guid":{"rendered":"https:\/\/icgnet.it\/horus-analytics\/"},"modified":"2021-11-16T12:57:21","modified_gmt":"2021-11-16T12:57:21","slug":"horus-analytics","status":"publish","type":"page","link":"https:\/\/icgnet.it\/en\/horus-analytics\/","title":{"rendered":"Horus Analytics"},"content":{"rendered":"\n

HORUS ANALYTICS
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ARTIFICIAL INTELLIGENCE AND FIGHT AGAINST FRAUD<\/strong>

Fighting insurance fraud related to false documents, recognizing anomalies, graphic manipulations and visual inconsistencies.
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What’s this<\/h2>\n
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An Artificial Intelligence, Computer vision and Object Recognition platform, specific for the insurance sector.\n<\/p>

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What does he do<\/h2>\n
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\nIt deals with analyzing images and documents of any structure and complexity to recognize graphic manipulations, visual inconsistencies, verify the uniqueness of the image within the DB, check that the image is not present on the internet. To combat insurance fraud related to false documents.<\/p>\n

What makes Horus a forerunner in the insurance industry is his ability to read insurance-related contracts and documents to speed up the underwriting process of workflows. The tool is able to read images, documents, invoices and medical reports and to further identify and label them to return the textual information in a storable format.\n<\/p>\n<\/div>\n<\/div>\n\n

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How does it work<\/h2>\n
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It is a series of intelligent engines based on recurrent artificial neural networks that analyze images to identify, recognize, interpret, classify, control and make the data contained therein usable.<\/p>\n<\/div>\n<\/div>\n\n

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Advanced Analytics<\/h2>\n<\/div>\n\n
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GRAPHIC MANIPULATIONS<\/h3>\n
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Format analysis<\/p>\n

Scene analysis<\/p>\n

Identification of contained objects<\/p>\n

Location detection of objects<\/p>\n

Alteration marks detection: pixel matrix consistency, color consistency, recapture, aliasing<\/p>\n<\/div>\n<\/div>\n\n

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PRESENCE ON THE DB<\/h3>\n
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\nTo avoid false documents, duplication, fraud, …\n<\/p>\n<\/div>\n<\/div>\n\n

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PRESENCE ON THE NETWORK<\/h3>\n
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\nTo identify images that have been downloaded from the network, modified, and presented together with the accident report.\n<\/p>\n<\/div>\n<\/div>\n\n

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META – PROPERTIES<\/h3>\n
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\nCheck the presence and consistency of metadata, timestamps, cryptographic checks.\n<\/p>\n<\/div>\n<\/div>\n\n

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Insurtech and surroundings<\/p>

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING<\/p>\n

What are the applications in the insurance sector?<\/a><\/p><\/div>\n\n

Find out more<\/p>\n

Contact us to find out how we can help your business.<\/p>Learn more<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"

Analyze images and documents to detect anomalies, graphic manipulations, visual inconsistencies and ensure their uniqueness on db and online<\/p>\n","protected":false},"author":56,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","footnotes":""},"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Rafael Patron","author_link":"https:\/\/icgnet.it\/en\/author\/rafael-patron\/"},"uagb_comment_info":0,"uagb_excerpt":"Analyze images and documents to detect anomalies, graphic manipulations, visual inconsistencies and ensure their uniqueness on db and online","_links":{"self":[{"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/pages\/16027"}],"collection":[{"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/comments?post=16027"}],"version-history":[{"count":1,"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/pages\/16027\/revisions"}],"predecessor-version":[{"id":16034,"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/pages\/16027\/revisions\/16034"}],"wp:attachment":[{"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/media?parent=16027"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}