{"id":2658,"date":"2024-01-23T12:46:53","date_gmt":"2024-01-23T12:46:53","guid":{"rendered":"https:\/\/k3ylabs.com\/?p=2658"},"modified":"2024-01-23T12:46:54","modified_gmt":"2024-01-23T12:46:54","slug":"incode-application-area-3-smart-worker-assistant","status":"publish","type":"post","link":"https:\/\/k3ylabs.com\/el\/blog\/incode-application-area-3-smart-worker-assistant\/","title":{"rendered":"INCODE &#8211; Application Area 3: Smart Worker Assistant"},"content":{"rendered":"<div id=\"pl-2658\"  class=\"panel-layout\" ><div id=\"pg-2658-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-2658-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-2658-0-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child panel-last-child\" data-index=\"0\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<h4><strong>Introduction<\/strong><\/h4>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.incode-project.eu\/\">INCODE\u2019s<\/a> Application Area 3 aims to improve adaptive human-machine interaction in smart factories, while promoting healthy operators through the use of Edge-to-Cloud solutions. To achieve these goals, <a href=\"https:\/\/www.made-cc.eu\/it\/\">MADE Competence Center Industry 4.0<\/a>, together with <a href=\"https:\/\/www.polimi.it\/\">Politecnico di Milano<\/a> is validating a Use Case (UC) that demonstrates how to reduce the fatigue and stress experienced by human operators during repetitive manual tasks.<\/p>\n<p>&nbsp;<\/p>\n<h4><strong>Use Case and Application Scenario<br \/>\n<\/strong><\/h4>\n<p>&nbsp;<\/p>\n<p>UC in Application Area 3 uses advanced technologies to increase the efficiency of human operators in manufacturing by modifying the working environment. These technologies include <strong>cobots <\/strong>that can perform tasks side-by-side with humans \u2013 without the need for dedicated spaces \u2013 <strong>wearable technologies <\/strong>equipped with sensors that measure the wearer\u2019s biometric parameters, and an <strong>exoskeleton<\/strong>.<\/p>\n<p>The UC will be implemented in a <strong>\u201chuman in the loop\u201d scenario, mirroring the work of a human operator performing a repetitive task<\/strong> involving the handling of material, equipped with an exoskeleton designed to relieve muscle effort. As soon as the sensors of the wearable device combine their variable in a fatigue-like situation, a cobot is re-instructed on the effective position where to deliver the goods to be moved, ensuring a safer handling by the operator and\/or an alert to the operator to use the exoskeleton.In this case, the production system is re-instructed to handle the fatigue-like situation by slowing down the production speed of the line until the operator\u2019s parameters return to the usual set or until the operator is replaced by the next shift\u2019s colleague.\u00a0It is important to note that the system only monitors the biometric parameters of the body, without being informed of the change of identity. Privacy issues are therefore mitigated, as no data is tagged with any parameter that could potentially be linked to a physical person.<\/p>\n<p>&nbsp;<\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/g_E4tAMCYkw?si=755DAkaFeoiNN1wG\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><br \/>\n<em>Our colleague <a href=\"https:\/\/www.linkedin.com\/in\/mariarossetti88\/\">Maria Rossetti<\/a>, Project manager at MADE explains the objectives of the smart worker assistant use case<\/em><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h4><strong>INCODE unique contribution<\/strong><\/h4>\n<p>&nbsp;<\/p>\n<p>However, the identification of the actual fatigue\/stress status of operators relies on Machine Learning algorithms, which usually require significant amounts of data and computing power, which cannot always be guaranteed by the infrastructure installed on company premises. A scalable solution therefore involves deploying a cloud infrastructure to which the various data sources and users can connect in order to share and exploit the useful information derived from the data.<\/p>\n<p>The human loop is therefore not limited to a logical level close to the device, but flows through a series of intermediate levels, ensuring uniform data semantics and common language interfaces, with the advantage of faster and scalable deployment. The use of mobile ICT protocols (i.e. 5G) by the INCODE solution also guarantees isolated data pipelines, guaranteeing the security of sensitive information contained in the company\u2019s information systems.<\/p>\n<p>&nbsp;<\/p>\n<p>Read the full post <a href=\"https:\/\/www.incode-project.eu\/a-deep-dive-into-incodes-application-areas-smart-worker-assistant\/\">here<\/a>.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Introduction &nbsp; INCODE\u2019s Application Area 3 aims to improve adaptive human-machine interaction in smart factories, while promoting healthy operators through the use of Edge-to-Cloud solutions. To achieve these goals, MADE Competence Center Industry 4.0, together with Politecnico di Milano is validating a Use Case (UC) that demonstrates how to reduce the fatigue and stress experienced&hellip; <a class=\"more-link\" href=\"https:\/\/k3ylabs.com\/el\/blog\/incode-application-area-3-smart-worker-assistant\/\">\u03a3\u03c5\u03bd\u03b5\u03c7\u03af\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03c4\u03b5 \u03c4\u03bf <span class=\"screen-reader-text\">INCODE &#8211; Application Area 3: Smart Worker Assistant<\/span><\/a><\/p>","protected":false},"author":4,"featured_media":2665,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[8],"class_list":["post-2658","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-news","entry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>INCODE - Application Area 3: Smart Worker Assistant - k3y<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/k3ylabs.com\/el\/blog\/incode-application-area-3-smart-worker-assistant\/\" \/>\n<meta property=\"og:locale\" content=\"el_GR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"INCODE - Application Area 3: Smart Worker Assistant - k3y\" \/>\n<meta property=\"og:description\" content=\"Introduction &nbsp; INCODE\u2019s Application Area 3 aims to improve adaptive human-machine interaction in smart factories, while promoting healthy operators through the use of Edge-to-Cloud solutions. To achieve these goals, MADE Competence Center Industry 4.0, together with Politecnico di Milano is validating a Use Case (UC) that demonstrates how to reduce the fatigue and stress experienced&hellip; \u03a3\u03c5\u03bd\u03b5\u03c7\u03af\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03c4\u03b5 \u03c4\u03bf INCODE &#8211; Application Area 3: Smart Worker Assistant\" \/>\n<meta property=\"og:url\" content=\"https:\/\/k3ylabs.com\/el\/blog\/incode-application-area-3-smart-worker-assistant\/\" \/>\n<meta property=\"og:site_name\" content=\"k3y\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-23T12:46:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-23T12:46:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/k3ylabs.com\/wp-content\/uploads\/2024\/01\/INCODE-Use-Case-1_smart-worker-assistant.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1248\" \/>\n\t<meta property=\"og:image:height\" content=\"1042\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"k3y news\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u03a3\u03c5\u03bd\u03c4\u03ac\u03c7\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc\" \/>\n\t<meta name=\"twitter:data1\" content=\"k3y news\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u0395\u03ba\u03c4\u03b9\u03bc\u03ce\u03bc\u03b5\u03bd\u03bf\u03c2 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7\u03c2\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u03bb\u03b5\u03c0\u03c4\u03cc\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/k3ylabs.com\\\/blog\\\/incode-application-area-3-smart-worker-assistant\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/k3ylabs.com\\\/blog\\\/incode-application-area-3-smart-worker-assistant\\\/\"},\"author\":{\"name\":\"k3y news\",\"@id\":\"https:\\\/\\\/k3ylabs.com\\\/#\\\/schema\\\/person\\\/9c622781378c531311096a78feb83f04\"},\"headline\":\"INCODE &#8211; 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