{"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\/pt\/blog\/news\/nejroset-beeline-ai-poisk-lyudej-pomozhet-najti-propavshih","title":{"rendered":"A rede neural \"Beeline AI \u2014 Busca de Pessoas\" ajudar\u00e1 a encontrar desaparecidos","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>&laquo;Beeline&raquo; desenvolveu uma rede neural especializada que ajudar\u00e1 na busca de desaparecidos: a plataforma recebeu o nome de &laquo;Beeline AI \u2014 Busca de Pessoas&raquo;.<\/p>\n<p>A solu\u00e7\u00e3o tem como objetivo simplificar o trabalho da equipe de busca e salvamento &laquo;<noindex><a rel=\"nofollow\" href=\"https:\/\/lizaalert.org\/\">Liza Alert<\/a><\/noindex>&raquo;. Desde 2018, essa equipe utiliza drones para opera\u00e7\u00f5es de busca realizadas em florestas e em \u00e1reas industriais nas cidades. No entanto, a an\u00e1lise das imagens obtidas das c\u00e2meras dos drones exige a participa\u00e7\u00e3o de um grande n\u00famero de volunt\u00e1rios. Al\u00e9m disso, isso leva muito tempo.<\/p>\n<p><img decoding=\"async\" alt=\"A rede neural \u00abBeeline AI - Busca de Pessoas\u00bb ajudar\u00e1 a encontrar os desaparecidos.\" src=\"\/wp-content\/uploads\/2019\/08\/4bc5a1c90e80b5b650b7e21bbeeed5a2.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>A rede neural &laquo;Beeline AI \u2014 Busca de Pessoas&raquo; foi criada precisamente para automatizar o processo de an\u00e1lise de fotografias. Afirma-se que os algoritmos especializados permitem reduzir o tempo de visualiza\u00e7\u00e3o e classifica\u00e7\u00e3o das imagens recebidas em duas vezes e meia.<\/p>\n<p>A plataforma utiliza tecnologias de redes neurais convolucionais, aumentando a efici\u00eancia das ferramentas de vis\u00e3o computacional. O treinamento da rede neural foi realizado com cole\u00e7\u00f5es reais de imagens. Testes mostraram que a precis\u00e3o do modelo em imagens de teste se aproxima de 98&nbsp;%.<\/p>\n<p><center><\/center><\/p>\n<p>A principal tarefa da &laquo;Beeline AI \u2014 Busca de Pessoas&raquo; \u00e9 a filtragem de fotografias &laquo;vazias&raquo; e n\u00e3o informativas, nas quais definitivamente n\u00e3o h\u00e1 pessoas ou atributos que indiquem que uma pessoa esteve naquele local. Isso permite que o grupo de an\u00e1lise se concentre imediatamente em imagens potencialmente eficazes.<\/p>\n<p><img decoding=\"async\" alt=\"A rede neural \u00abBeeline AI - Busca de Pessoas\u00bb ajudar\u00e1 a encontrar os desaparecidos.\" src=\"\/wp-content\/uploads\/2019\/08\/f10f6e5d5e658f28193b6562fdf9d494.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>O sistema pode se adaptar a diferentes condi\u00e7\u00f5es. Ele identifica objetos com precis\u00e3o tanto a alturas de 30\u201340 metros quanto de 100 metros. Al\u00e9m disso, a rede neural \u00e9 capaz de processar imagens com alto n\u00edvel de &laquo;ru\u00eddo&raquo; visual \u2014 \u00e1rvores, paisagens naturais, crep\u00fasculo, etc.<\/p>\n<p>&laquo;Potencialmente, a rede neural \u00e9 capaz de encontrar pessoas e objetos em todos os locais de busca, como florestas, p\u00e2ntanos, campos, cidades, independentemente da \u00e9poca do ano e da vestimenta da pessoa, pois o algoritmo \u00e9 ajustado para operar em qualquer esta\u00e7\u00e3o e potencialmente poder\u00e1 reconhecer posi\u00e7\u00f5es corporais n\u00e3o padr\u00e3o no espa\u00e7o, por exemplo, uma pessoa sentada, deitada ou parcialmente coberta por folhas&raquo;, observa &laquo;Beeline&raquo;.&nbsp;<\/p>\n<p><center><\/p>\n<p><\/center><\/p>\n<p>\t\t\t\t<center><br \/>\n\t\t\t\t\t\t\t\t<\/center><br \/>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"http:\/\/www.3dnews.ru\/992231\">3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>&laquo;\u0411\u0438\u043b\u0430\u0439\u043d&raquo; \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043b \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u0443\u044e \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u0443\u044e \u0441\u0435\u0442\u044c, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u043e\u043c\u043e\u0436\u0435\u0442 \u0432 \u043f\u043e\u0438\u0441\u043a\u0435 \u043f\u0440\u043e\u043f\u0430\u0432\u0448\u0438\u0445: \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0430 \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0430 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 &laquo;Beeline AI &#8212; \u041f\u043e\u0438\u0441\u043a \u043b\u044e\u0434\u0435\u0439&raquo;. \u0420\u0435\u0448\u0435\u043d\u0438\u0435 \u043f\u0440\u0438\u0437\u0432\u0430\u043d\u043e \u0443\u043f\u0440\u043e\u0441\u0442\u0438\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u0443 \u043f\u043e\u0438\u0441\u043a\u043e\u0432\u043e-\u0441\u043f\u0430\u0441\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u043e\u0442\u0440\u044f\u0434\u0430 &laquo;\u041b\u0438\u0437\u0430 \u0410\u043b\u0435\u0440\u0442&raquo;. \u0421 2018 \u0433\u043e\u0434\u0430 \u044d\u0442\u0430 \u043a\u043e\u043c\u0430\u043d\u0434\u0430 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442 \u0431\u0435\u0441\u043f\u0438\u043b\u043e\u0442\u043d\u044b\u0435 \u043b\u0435\u0442\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u044b \u0434\u043b\u044f \u043f\u043e\u0438\u0441\u043a\u043e\u0432\u044b\u0445 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439, \u043f\u0440\u043e\u0432\u043e\u0434\u0438\u043c\u044b\u0445 \u0432 \u043b\u0435\u0441\u0443 \u0438 \u043d\u0430 \u043f\u0440\u043e\u043c\u044b\u0448\u043b\u0435\u043d\u043d\u044b\u0445 \u0442\u0435\u0440\u0440\u0438\u0442\u043e\u0440\u0438\u044f\u0445 \u0433\u043e\u0440\u043e\u0434\u043e\u0432. \u041e\u0434\u043d\u0430\u043a\u043e \u0430\u043d\u0430\u043b\u0438\u0437 \u0441\u043d\u0438\u043c\u043a\u043e\u0432, \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u043c\u044b\u0445 \u0441 \u043a\u0430\u043c\u0435\u0440 \u0434\u0440\u043e\u043d\u043e\u0432, \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u0432\u043e\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u044f [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":27733,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-37004","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - 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