{"id":37004,"date":"2019-10-31T22:15:15","date_gmt":"2019-10-31T19:15:15","guid":{"rendered":"https:\/\/prohoster.info\/blog\/nejroset-beeline-ai-poisk-lyudej-pomozhet-najti-propavshih\/"},"modified":"2019-10-31T22:15:15","modified_gmt":"2019-10-31T19:15:15","slug":"nejroset-beeline-ai-poisk-lyudej-pomozhet-najti-propavshih","status":"publish","type":"post","link":"https:\/\/prohoster.info\/nl\/blog\/news\/nejroset-beeline-ai-poisk-lyudej-pomozhet-najti-propavshih","title":{"rendered":"Neuraal netwerk \"Beeline AI \u2014 Mensen zoeken\" helpt bij het vinden van vermisten","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

«Beeline» heeft een gespecialiseerde neurale netwerk ontwikkeld dat helpt bij het opsporen van vermisten: het platform heeft de naam «Beeline AI — Mensen zoeken» gekregen.<\/p>\n

De oplossing is bedoeld om het werk van het zoek- en reddingsteam «Liza Alert<\/a><\/noindex>» te vereenvoudigen. Sinds 2018 gebruikt dit team onbemande luchtvaartuigen voor zoekoperaties in bossen en op industri\u00eble terreinen in steden. Echter, de analyse van beelden die met drones worden verkregen, vereist de inzet van veel vrijwilligers. Dit kost ook veel tijd.<\/p>\n

\"Het<\/p>\n

De neurale netwerk «Beeline AI — Mensen zoeken» is ontworpen om het proces van het verwerken van foto's te automatiseren. Er wordt beweerd dat gespecialiseerde algoritmes de tijd die nodig is om verkregen beelden te bekijken en te sorteren met twee\u00ebnhalve keer kunnen verminderen.<\/p>\n

Het platform maakt gebruik van technologie\u00ebn van convolutionele neurale netwerken, wat de effici\u00ebntie van machine vision verbetert. De training van de neurale netwerk is uitgevoerd op echte beeldselecties. Tests toonden aan dat de nauwkeurigheid van het model op testafbeeldingen bijna 98 % bereikt.<\/p>\n

<\/center><\/p>\n

De primaire taak van «Beeline AI — Mensen zoeken» is het sorteren van «lege» en niet-informatieve foto's waarop duidelijk geen mensen of attributen die wijzen op de aanwezigheid van een persoon te zien zijn. Dit stelt de analysegroep in staat zich onmiddellijk te concentreren op potentieel waardevolle beelden.<\/p>\n

\"Het<\/p>\n

Het systeem kan zich aanpassen aan verschillende omstandigheden. Het vindt objecten even nauwkeurig vanaf hoogtes van 30\u201340 meter als vanaf een vlieghoogte van 100 meter. Daarnaast is de neurale netwerk in staat om beelden met een hoog niveau van visueel «ruis» te verwerken \u2013 bomen, natuurlijke landschappen, schemering, enzovoort.<\/p>\n

«Potentieel is de neurale netwerk in staat om mensen en objecten in alle zoeklocaties te vinden, zoals bossen, moerassen, velden en steden, ongeacht het seizoen en de kleding van de persoon, omdat het algoritme is ingesteld om in elk seizoen te werken en mogelijk in staat zal zijn om ongebruikelijke lichaamsposities te herkennen, bijvoorbeeld een zittende, liggende of gedeeltelijk door bladeren bedekte persoon», merkt «Beeline» op. <\/p>\n

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Bron: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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