{"id":1910,"date":"2023-07-16T16:15:29","date_gmt":"2023-07-16T22:15:29","guid":{"rendered":"http:\/\/ferba.net\/?page_id=1910"},"modified":"2025-02-05T14:58:19","modified_gmt":"2025-02-05T20:58:19","slug":"flexquality","status":"publish","type":"page","link":"https:\/\/ferba.net\/en\/flexquality\/","title":{"rendered":"Flexquality"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"1910\" class=\"elementor elementor-1910\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8ade77a e-con-full e-flex e-con\" data-id=\"8ade77a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-2ea400d e-con-full e-flex elementor-invisible e-con\" data-id=\"2ea400d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;,&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cfaa293 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"cfaa293\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 31-07-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Flexquality<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d49504d elementor-blockquote--skin-border elementor-blockquote--button-color-official elementor-widget elementor-widget-blockquote\" data-id=\"d49504d\" data-element_type=\"widget\" data-widget_type=\"blockquote.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor-pro - v3.15.0 - 09-08-2023 *\/\n@charset \"UTF-8\";.entry-content blockquote.elementor-blockquote:not(.alignright):not(.alignleft),.entry-summary blockquote.elementor-blockquote{margin-right:0;margin-left:0}.elementor-widget-blockquote 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.elementor-blockquote__tweet-button:hover,.elementor-blockquote--button-skin-classic .elementor-blockquote__tweet-button:hover{background-color:#0967a0;color:#fff}.elementor-blockquote--button-skin-bubble .elementor-blockquote__tweet-button:hover:before,.elementor-blockquote--button-skin-classic .elementor-blockquote__tweet-button:hover:before{border-right-color:#0967a0}.elementor-blockquote--button-skin-bubble .elementor-blockquote__tweet-button svg,.elementor-blockquote--button-skin-classic .elementor-blockquote__tweet-button svg{fill:#fff;height:1em;width:1em}.elementor-blockquote--button-skin-bubble.elementor-blockquote--button-view-icon .elementor-blockquote__tweet-button,.elementor-blockquote--button-skin-classic.elementor-blockquote--button-view-icon .elementor-blockquote__tweet-button{padding:0;width:2em;height:2em}.elementor-blockquote--button-skin-bubble.elementor-blockquote--button-view-icon .elementor-blockquote__tweet-button i,.elementor-blockquote--button-skin-classic.elementor-blockquote--button-view-icon .elementor-blockquote__tweet-button i{position:absolute;left:50%;top:50%;transform:translate(-50%,-50%)}.elementor-blockquote--button-skin-bubble .elementor-blockquote__tweet-button:before{content:\"\";border:.5em solid transparent;border-right-color:#1da1f2;position:absolute;left:-.8em;top:50%;transform:translateY(-50%) scaleY(.65);transition:.3s}.elementor-blockquote--button-skin-bubble.elementor-blockquote--align-left .elementor-blockquote__tweet-button:before{right:auto;left:-.8em;border-right-color:#1da1f2;border-left-color:transparent}.elementor-blockquote--button-skin-bubble.elementor-blockquote--align-left .elementor-blockquote__tweet-button:hover:before{border-right-color:#0967a0}.elementor-blockquote--button-skin-bubble.elementor-blockquote--align-right .elementor-blockquote__tweet-button:before{left:auto;right:-.8em;border-right-color:transparent;border-left-color:#1da1f2}.elementor-blockquote--button-skin-bubble.elementor-blockquote--align-right .elementor-blockquote__tweet-button:hover:before{border-left-color:#0967a0}.elementor-blockquote--skin-boxed .elementor-blockquote{background-color:#f9fafa;padding:30px}.elementor-blockquote--skin-border .elementor-blockquote{border-color:#f9fafa;border-left:7px #f9fafa;border-style:solid;padding-left:20px}.elementor-blockquote--skin-quotation .elementor-blockquote:before{content:\"\u201c\";font-size:100px;color:#f9fafa;font-family:Times New Roman,Times,serif;font-weight:900;line-height:1;display:block;height:.6em}.elementor-blockquote--skin-quotation .elementor-blockquote__content{margin-top:15px}.elementor-blockquote--align-left .elementor-blockquote__content{text-align:left}.elementor-blockquote--align-left .elementor-blockquote .e-q-footer{flex-direction:row}.elementor-blockquote--align-right .elementor-blockquote__content{text-align:right}.elementor-blockquote--align-right .elementor-blockquote .e-q-footer{flex-direction:row-reverse}.elementor-blockquote--align-center .elementor-blockquote{text-align:center}.elementor-blockquote--align-center .elementor-blockquote .e-q-footer,.elementor-blockquote--align-center .elementor-blockquote__author{display:block}.elementor-blockquote--align-center .elementor-blockquote__tweet-button{margin-right:auto;margin-left:auto}<\/style>\t\t<blockquote class=\"elementor-blockquote\">\n\t\t\t<p class=\"elementor-blockquote__content\">\n\t\t\t\t\"Artificial intelligence system for product quality measurement\"\t\t\t<\/p>\n\t\t\t\t\t<\/blockquote>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b1097ea elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"b1097ea\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 31-07-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Our product quality measurement system \"FLEXQUALITY\" is based on a branch of artificial intelligence called \"machine learning\", specifically in a technique of deep learning.<\/p><p>It uses \"artificial neural networks\" which are computational models that process information (in our case images obtained from the calibrator cameras correctly segmented, creating multi-images) imitating the mechanism of human biological neurons, that is, imitating human behavior in image recognition.<\/p><p>In summary, the goal is to enable computer systems to function similarly to the human brain in terms of learning and thinking. However, with clear advantages such as processing speed, consistency, and the lack of degradation in results caused by factors like fatigue or loss of attention.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9d73739 e-con-full e-flex elementor-invisible e-con\" data-id=\"9d73739\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;,&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-98a5d9c elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"98a5d9c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 31-07-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"474\" src=\"https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-1-768x474.jpg\" class=\"attachment-medium_large size-medium_large wp-image-1912\" alt=\"\" srcset=\"https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-1-768x474.jpg 768w, https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-1-300x185.jpg 300w, https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-1-1024x632.jpg 1024w, https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-1-1536x948.jpg 1536w, https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-1.jpg 1732w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9482713 e-con-full e-flex e-con\" data-id=\"9482713\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-cfa024b e-con-full e-flex e-con\" data-id=\"cfa024b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-55a4b04 elementor-widget__width-initial elementor-widget-tablet__width-initial elementor-widget elementor-widget-image\" data-id=\"55a4b04\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"583\" height=\"344\" src=\"https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-2.jpg\" class=\"attachment-large size-large wp-image-1913\" alt=\"\" srcset=\"https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-2.jpg 583w, https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-2-300x177.jpg 300w\" sizes=\"auto, (max-width: 583px) 100vw, 583px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4fa7874 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"4fa7874\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The machine vision algorithm will create an image of the same fruit in different positions based on repetition, as many positions as the configuration of the camera (or cameras in case of multi-camera systems) allows depending on the synchronization with the calibrator and its speed, this creates something called multimage, which will be used to train the neural network to detect a particular defect and in to infer the process to obtain the classification by quality:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5323fc0 e-con-full e-flex e-con\" data-id=\"5323fc0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-0979968 e-con-full e-flex e-con\" data-id=\"0979968\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-923e52e elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"923e52e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>By training a neural network with images captured in real time from the cameras installed in the machine vision area of the sorter, and the subsequent segmentation and treatment creating the multi-images, it will be possible to detect different defects in the product and thus classify by product quality.<\/p><p>These fruit\/vegetable multi-images are created in order to obtain an image with as much product texture as possible. Many multimages of the product must be captured to train the neural network with as much of the captured texture of the fruit as possible, in order to determine the degree of damage of any disease or defect that is visible in the product.<\/p><p>Our system is the most advanced in the market for quality determination by artificial intelligence and with the best cost\/benefit ratio.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ce0191e elementor-widget__width-initial elementor-widget-tablet__width-initial elementor-widget elementor-widget-image\" data-id=\"ce0191e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"460\" height=\"260\" src=\"https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-3.jpg\" class=\"attachment-large size-large wp-image-1927\" alt=\"\" srcset=\"https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-3.jpg 460w, https:\/\/ferba.net\/wp-content\/uploads\/2023\/07\/flexquality-3-300x170.jpg 300w\" sizes=\"auto, (max-width: 460px) 100vw, 460px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>VIDEOSTREAMING israelislamandthewest.com kaputasapart.com fcbarileva.com evanloomisdesign.com pacificcropscience.com Flexquality \u201cSistema de inteligencia artificial para medici\u00f3n de calidad de producto\u201d Nuestro sistema de medici\u00f3n de calidad del producto \u201cFLEXQUALITY\u201d se fundamenta en una rama de la inteligencia artificial denominada \u201cmachine learning\u201d o aprendizaje autom\u00e1tico, m\u00e1s en concreto en una t\u00e9cnica de aprendizaje profundo o \u201cdeep learning\u201d. Consiste en [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":21,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-1910","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ferba.net\/en\/wp-json\/wp\/v2\/pages\/1910","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ferba.net\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ferba.net\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ferba.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ferba.net\/en\/wp-json\/wp\/v2\/comments?post=1910"}],"version-history":[{"count":1,"href":"https:\/\/ferba.net\/en\/wp-json\/wp\/v2\/pages\/1910\/revisions"}],"predecessor-version":[{"id":2409,"href":"https:\/\/ferba.net\/en\/wp-json\/wp\/v2\/pages\/1910\/revisions\/2409"}],"wp:attachment":[{"href":"https:\/\/ferba.net\/en\/wp-json\/wp\/v2\/media?parent=1910"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}