{"id":16039,"date":"2021-11-16T12:56:48","date_gmt":"2021-11-16T12:56:48","guid":{"rendered":"https:\/\/icgnet.it\/horus-damages\/"},"modified":"2021-11-16T12:57:25","modified_gmt":"2021-11-16T12:57:25","slug":"horus-damages","status":"publish","type":"page","link":"https:\/\/icgnet.it\/en\/horus-damages\/","title":{"rendered":"Horus Damages"},"content":{"rendered":"\n

HORUS damages
<\/h2>

AUTOMATIC ESTIMATION OF REPAIR COSTS IN REAL TIME<\/strong>

Analyze images of car claims to recognize damaged parts, channeling complex claims and mass claims in a totally automatic way.
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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
\n\nIt deals with analyzing images of car accidents to recognize the damaged parts of the photographed vehicle, distinguish between heavy and light damages and carry out an initial estimate of the repair both in terms of costs and times, channeling complex and mass claims in a totally automatic way. .\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

1<\/p><\/td>

Analyze the image to isolate the “VEHICLE” object from the others\nelements found in the photograph and determines the angle of the camera relative to the car.<\/strong><\/p><\/td>\n<\/tr>

2<\/p><\/td>

If the image was taken from a frontal position with respect to the car, Horus is able to determine the model. If in the photo there is also the license plate, Horus identifies the “plate” object, queries the specific databases to obtain machine information (make, model, technical data, etc.), check that the plate corresponds to the vehicle model.\n<\/strong><\/p><\/td>\n<\/tr>

3<\/p><\/td>

Once the vehicle is identified, every single component is detected and tagged for analysis.<\/strong><\/p><\/td>\n<\/tr>

4<\/p><\/td>

Identify damaged components and define the type of damage: scratch, dent, replacement.<\/strong><\/p><\/td>\n<\/tr>

5<\/p><\/td>

The interaction with national or international databases, which classify the price list, time and labor costs for each element, allows you to create an immediate and automatic damage assessment.\n<\/strong><\/p><\/td>\n<\/tr><\/tbody><\/table>\n

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Horus is the ideal tool with which to channel mass claims in a totally automatic way. \n<\/p>\n

\nFor minor damage, it makes an estimate in real time, without any human intervention, possibly directing the insured to the body shop most suitable for the type of damage.\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":"

What’s this An Artificial Intelligence, Computer vision and Object Recognition platform, specific for the insurance sector. What does he do It deals with analyzing images […]<\/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":"What’s this An Artificial Intelligence, Computer vision and Object Recognition platform, specific for the insurance sector. What does he do It deals with analyzing images […]","_links":{"self":[{"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/pages\/16039"}],"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=16039"}],"version-history":[{"count":1,"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/pages\/16039\/revisions"}],"predecessor-version":[{"id":16045,"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/pages\/16039\/revisions\/16045"}],"wp:attachment":[{"href":"https:\/\/icgnet.it\/en\/wp-json\/wp\/v2\/media?parent=16039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}