{"id":20738,"date":"2023-07-03T07:04:58","date_gmt":"2023-07-03T11:04:58","guid":{"rendered":"https:\/\/drive2data.com\/it\/?p=20738"},"modified":"2024-05-02T10:40:21","modified_gmt":"2024-05-02T14:40:21","slug":"computer-vision-quali-sono-le-novita","status":"publish","type":"post","link":"https:\/\/drive2data.com\/it\/computer-vision-quali-sono-le-novita\/","title":{"rendered":"Computer Vision: quali sono le novit\u00e0?"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.19.5&#8243; background_color=&#8221;#020000&#8243; custom_margin=&#8221;|1px||||&#8221; custom_padding=&#8221;|0px||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;32px|||||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Negli ultimi anni \u00e8 fortemente cresciuta l\u2019attenzione verso la\u00a0<strong>Computer Vision (CV)<\/strong>, grazie all\u2019avvento di\u00a0tecniche sempre pi\u00f9 avanzate di <strong>Machine Learning<\/strong><a href=\"https:\/\/blog.osservatori.net\/it_it\/machine-learning-come-funziona-apprendimento-automatico\"><strong><\/strong><\/a>\u00a0che hanno permesso di raggiungere prestazioni paragonabili a quelle del cervello umano.<\/p>\n<p>La crescente capacit\u00e0 di indagine dei flussi video ha evidenziato come la Computer Vision sia una delle soluzioni software pi\u00f9 promettenti nel campo dell\u2019Artificial Intelligence.<\/p>\n<p>Sono sempre di pi\u00f9 le imprese che rivolgono l\u2019attenzione a questa tecnologia per migliorare le proprie performance di business.<\/p>\n<p>Come funzionano gli algoritmi di Computer Vision\u00a0e quali opportunit\u00e0 possono offrire?<\/p>\n<h2><strong>I task della <span style=\"color: #ff9900;\">Computer<\/span> Vision<\/strong><\/h2>\n<p>Gli algoritmi di\u00a0<strong>CV<\/strong>\u00a0possono effettuare indagini approfondite su un\u2019immagine, a seconda delle tecniche utilizzate, della tipologia di immagine e del tipo di task effettuato. I notevoli progressi che la <strong>Computer Vision<\/strong> sta registrando sono dovuti principalmente allo sviluppo delle tecniche di Deep Learning, il ramo pi\u00f9 evoluto del\u00a0Machine Learning.<\/p>\n<p>Tra i possibili task si individuano:<\/p>\n<ul>\n<li><strong>Image Classification<\/strong>: analisi del contenuto dell\u2019immagine e attribuzione di un\u2019etichetta semantica;<\/li>\n<li><strong>Object Detection<\/strong>: identificazione di una o pi\u00f9 oggetti all\u2019interno di un flusso video;<\/li>\n<li><strong>Image Segmentation<\/strong>: suddivisione dell\u2019immagine in sezioni per aumentarne la definizione e riconoscere pi\u00f9 particolari;<\/li>\n<li><strong>Face Recognition<\/strong>: riconoscimento del volto di persone;<\/li>\n<li><strong>Action Recognition:<\/strong> identificazione di una o pi\u00f9 entit\u00e0 e della loro relazione nel tempo e nello spazio al fine di identificare e descrivere azioni specifiche;<\/li>\n<li><strong>Visual Relationship Detection<\/strong>: comprensione della relazione tra gli oggetti in un\u2019immagine;<\/li>\n<li><strong>Emotion Recognition<\/strong>: rilevamento del\u00a0sentiment\u00a0di un\u2019immagine;<\/li>\n<li><strong>Image Editing:<\/strong> modifiche a un\u2019immagine (es. oscuramento di dati sensibili).<\/li>\n<\/ul>\n<p>Inoltre, esistono diverse modalit\u00e0 con cui un\u2019architettura di Artificial Vision pu\u00f2\u00a0estrarre informazioni dalle immagini:<\/p>\n<ol>\n<li><em> <\/em><em>Hand Crafted Features<\/em><\/li>\n<li><em> <\/em><em>Computer Vision\u00a0Features<\/em><\/li>\n<li><em> <\/em><em>Data Driven Features <\/em><\/li>\n<\/ol>\n<p>Tutte possono essere scelte singolarmente o combinate a seconda delle esigenze dell\u2019analisi. La prima si basa sul concetto che gli algoritmi possano estrarre e definire ci\u00f2 che \u00e8 rilevante nell\u2019immagine (es. uno specifico colore, forma, area, grandezza), mentre il secondo si fonda sulla suddivisione in piccoli segmenti per permettere un\u2019analisi pi\u00f9 approfondita.<\/p>\n<p>La vera frontiera della\u00a0Computer Vision, per\u00f2, sono le tecniche basate su\u00a0<strong>Data Driven Features,<\/strong> che\u00a0permettono il riconoscimento e la classificazione delle immagini\u00a0senza\u00a0dover\u00a0progettare\u00a0la fase di\u00a0estrazione dei features\u00a0che viene svolta da <strong>reti neurali<\/strong>.<\/p>\n<h3><strong>Come funziona la <span style=\"color: #ff9900;\">CV<\/span>?<\/strong><\/h3>\n<p>Ma come fa una macchina a riconoscere gli oggetti presenti in un flusso video? Tutto il sistema e\u0300 basato su 3 fasi fondamentali:<\/p>\n<ol>\n<li><strong>Acquisizione dell\u2019immagine<\/strong>: le immagini vengono acquisite dal computer, anche in tempo reale, tramite foto o tecnologia 3D, con l\u2019obiettivo di analizzarle.<\/li>\n<li><strong>Elaborazione dell\u2019immagine<\/strong>: attraverso modelli di Deep Learning la macchina riesce a elaborare l\u2019immagine attraverso specifici task. Gli algoritmi vengono addestrati precedentemente tramite il caricamento di migliaia di immagini etichettate e identificate precedentemente.<br \/>3.\u00a0<strong>Interpretazione dell&#8217;immagine<\/strong>: infine la macchina identifica, comprende e classifica l\u2019immagine elaborata e intraprende un&#8217;azione o una segnalazione.<\/li>\n<\/ol>\n<p>Il Machine Learning consente di addestrare i sistemi a capire il contesto di una foto sulla base di un set di dati e in questo modo \u00e8 possibile capire cosa rappresentano tutti i numeri che si stanno analizzando. Infatti, e\u0300 fondamentale sapere che\u00a0<strong>una macchina non vede l\u2019immagine\u00a0<\/strong>cosi\u0300 come la vediamo noi, ma\u00a0<strong>osserva un set di numeri\u00a0<\/strong>da elaborare e interpretare a seconda di come sono\u00a0<strong>organizzati<\/strong>.<\/p>\n<p>La\u00a0<strong>Computer Vision\u00a0<\/strong>puo\u0300 allenarsi fino a diventare migliore e piu\u0300 abile della vista umana, infatti quando un\u2019immagine e\u0300 ambigua possiamo continuare ad allenare il sistema con altri tipi di immagini finche\u0301 il computer avra\u0300 abbastanza dati da riuscire a distinguerle perfettamente.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; custom_margin=&#8221;25px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_divider _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; width=&#8221;70%&#8221; module_alignment=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][et_pb_button button_url=&#8221;https:\/\/drive2data.com\/it\/&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;SCOPRI DI PI\u00d9 SUL NOSTRO SITO&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;22px&#8221; button_text_color=&#8221;#ffb300&#8243; button_bg_color=&#8221;#020000&#8243; button_border_width=&#8221;1px&#8221; button_border_color=&#8221;#E09900&#8243; button_border_radius=&#8221;10px&#8221; button_font=&#8221;|600|||||||&#8221; button_use_icon=&#8221;off&#8221; background_layout=&#8221;dark&#8221; custom_margin=&#8221;||2%||false|false&#8221; custom_padding=&#8221;16px|16px|16px|16px|false|true&#8221; box_shadow_style=&#8221;preset1&#8243; locked=&#8221;off&#8221; global_colors_info=&#8221;{%22gcid-f2ce690f-aeee-4241-a830-be586ba3dd75%22:%91%93}&#8221;][\/et_pb_button][et_pb_divider show_divider=&#8221;off&#8221; _builder_version=&#8221;4.20.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.20.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.20.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.20.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h5 style=\"text-align: center;\">Potrebbe interessarti anche&#8230;<\/h5>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.20.2&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#000000&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.20.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_blurb title=&#8221;AI E MACHINE LEARNING: I VERI LEADER DELLA CYBER PROTECTION&#8221; image=&#8221;https:\/\/drive2data.com\/it\/wp-content\/uploads\/2023\/04\/Preview.png&#8221; alt=&#8221;Cyber_Protection_Drive2Data&#8221; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#000000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Il rapporto tra\u00a0Intelligenza Artificiale\u00a0e\u00a0Cyber Protection\u00a0\u00e8 ormai affermato e destinato a diventare sempre pi\u00f9 simbiotico. Gli strumenti della Cyber Intelligence sfruttano pienamente le tecnologie di Machine Learning e Deep Learning per vari scopi, dall\u2019analisi dei&#8230;<\/span><\/p>\n<p><a href=\"https:\/\/drive2data.com\/it\/ai-e-machine-learning-i-veri-leader-della-cyber-protection\/\"><span>Leggi tutto<\/span><\/a><\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.20.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_blurb title=&#8221;ENTERPRISE DATA MANAGEMENT: COME GESTIRE I BIG DATA&#8221; image=&#8221;https:\/\/drive2data.com\/it\/wp-content\/uploads\/2023\/04\/Preview-1.png&#8221; alt=&#8221;Enterprise_Data_Management&#8221; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#000000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>L\u2019Enterprise Data Management (EDM) esprime la capacit\u00e0, da parte di un\u2019azienda, di definire, integrare e raccogliere con accuratezza, attenzione ed efficacia i dati da pi\u00f9 fonti diversificate. L\u201989% dei manager aziendali ha dichiarato che usa i dati per prendere la&#8230;<\/span><\/p>\n<p><a href=\"https:\/\/drive2data.com\/it\/enterprise-data-management-come-gestire-al-meglio-i-big-data\/\">Leggi tutto<\/a><\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Negli ultimi anni \u00e8 fortemente cresciuta l\u2019attenzione verso la\u00a0Computer Vision (CV), grazie all\u2019avvento di\u00a0tecniche sempre pi\u00f9 avanzate di Machine Learning\u00a0che hanno permesso di raggiungere prestazioni paragonabili a quelle del cervello umano. La crescente capacit\u00e0 di indagine dei flussi video ha evidenziato come la Computer Vision sia una delle soluzioni software pi\u00f9 promettenti nel campo dell\u2019Artificial [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":20740,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[190],"tags":[218,195,248,224,199,194,209,208,229,211],"class_list":["post-20738","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai","tag-bigdata","tag-computervision","tag-cyber","tag-cybersecurity","tag-dati","tag-intelligenza-artificiale","tag-machine-learning","tag-tech","tag-tecnologia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Computer Vision: quali sono le novit\u00e0? - Drive2Data Inc.<\/title>\n<meta name=\"description\" content=\"Computer Vision: quali sono le novit\u00e0? 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