{"id":11554,"date":"2021-12-17T14:05:22","date_gmt":"2021-12-17T12:05:22","guid":{"rendered":"https:\/\/ist.kpi.ua\/?p=11554"},"modified":"2021-12-17T14:05:22","modified_gmt":"2021-12-17T12:05:22","slug":"practical-tinyml-for-industrial-safety-and-personnel-performance-monitoring","status":"publish","type":"post","link":"https:\/\/ist.kpi.ua\/uk\/blog\/practical-tinyml-for-industrial-safety-and-personnel-performance-monitoring\/","title":{"rendered":"Practical TinyML for industrial safety and personnel performance monitoring"},"content":{"rendered":"<p>20 \u0433\u0440\u0443\u0434\u043d\u044f \u043e 18:00 \u0432\u0456\u0434\u0431\u0443\u0434\u0435\u0442\u044c\u0441\u044f \u043c\u0456\u0442\u0430\u043f Practical TinyML for industrial safety and personnel performance monitoring \u0432\u0456\u0434 Leantegra.<\/p>\n<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0456\u044f Leantegra \u0440\u043e\u0437\u0440\u043e\u0431\u043b\u044f\u0454 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043d\u0435 \u0437\u0430\u0431\u0435\u0437\u043f\u0435\u0447\u0435\u043d\u043d\u044f \u0434\u043b\u044f \u043f\u0440\u043e\u043c\u0438\u0441\u043b\u043e\u0432\u043e\u0457 RTLS (\u0441\u0438\u0441\u0442\u0435\u043c\u0438 \u043f\u043e\u0437\u0438\u0446\u0456\u043e\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c\u0443 \u0447\u0430\u0441\u0456) \u0442\u0430 \u0431\u0435\u0437\u043f\u0435\u043a\u0438.<\/p>\n<p>\u041d\u0430 \u043c\u0456\u0442\u0430\u043f\u0456 \u0442\u0438 \u0434\u0456\u0437\u043d\u0430\u0454\u0448\u0441\u044f:<br \/>\n\u2022 \u044f\u043a\u0456 \u043f\u0435\u0440\u0435\u0434\u043e\u0432\u0456 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0457 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u043a\u043e\u043c\u043f\u0430\u043d\u0456\u044f;<br \/>\n\u2022 \u044f\u043a Leantegra \u0443\u0434\u043e\u0441\u043a\u043e\u043d\u0430\u043b\u0438\u043b\u0430 \u0442\u0430 \u0432\u043f\u0440\u043e\u0432\u0430\u0434\u0438\u043b\u0430 \u0441\u0438\u0441\u0442\u0435\u043c\u0443 ML;<br \/>\n\u2022 \u044f\u043a \u043f\u043e\u0454\u0434\u043d\u0443\u044e\u0442\u044c\u0441\u044f ML, \u043f\u0440\u043e\u043c\u0438\u0441\u043b\u043e\u0432\u0435 \u043e\u0431\u043b\u0430\u0434\u043d\u0430\u043d\u043d\u044f, \u0430\u043a\u0441\u0435\u043b\u0435\u0440\u043e\u043c\u0435\u0442\u0440, \u0433\u0456\u0440\u043e\u0441\u043a\u043e\u043f \u0456 \u0442.\u0434.<\/p>\n<p>\u0414\u0435\u0442\u0430\u043b\u0456 \u0442\u0430 \u0440\u0435\u0454\u0441\u0442\u0440\u0430\u0446\u0456\u044f: <a href=\"https:\/\/bit.ly\/31Exw8M\">https:\/\/bit.ly\/31Exw8M<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>20 \u0433\u0440\u0443\u0434\u043d\u044f \u043e 18:00 \u0432\u0456\u0434\u0431\u0443\u0434\u0435\u0442\u044c\u0441\u044f \u043c\u0456\u0442\u0430\u043f Practical TinyML for industrial safety and personnel performance monitoring \u0432\u0456\u0434 Leantegra. \u041a\u043e\u043c\u043f\u0430\u043d\u0456\u044f Leantegra \u0440\u043e\u0437\u0440\u043e\u0431\u043b\u044f\u0454 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043d\u0435 \u0437\u0430\u0431\u0435\u0437\u043f\u0435\u0447\u0435\u043d\u043d\u044f \u0434\u043b\u044f \u043f\u0440\u043e\u043c\u0438\u0441\u043b\u043e\u0432\u043e\u0457 RTLS (\u0441\u0438\u0441\u0442\u0435\u043c\u0438 \u043f\u043e\u0437\u0438\u0446\u0456\u043e\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c\u0443 \u0447\u0430\u0441\u0456) \u0442\u0430 \u0431\u0435\u0437\u043f\u0435\u043a\u0438. \u041d\u0430 \u043c\u0456\u0442\u0430\u043f\u0456 \u0442\u0438 \u0434\u0456\u0437\u043d\u0430\u0454\u0448\u0441\u044f: \u2022 \u044f\u043a\u0456 \u043f\u0435\u0440\u0435\u0434\u043e\u0432\u0456 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0457 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u043a\u043e\u043c\u043f\u0430\u043d\u0456\u044f; \u2022 \u044f\u043a Leantegra \u0443\u0434\u043e\u0441\u043a\u043e\u043d\u0430\u043b\u0438\u043b\u0430 \u0442\u0430 \u0432\u043f\u0440\u043e\u0432\u0430\u0434\u0438\u043b\u0430 \u0441\u0438\u0441\u0442\u0435\u043c\u0443 ML; \u2022 \u044f\u043a \u043f\u043e\u0454\u0434\u043d\u0443\u044e\u0442\u044c\u0441\u044f ML, \u043f\u0440\u043e\u043c\u0438\u0441\u043b\u043e\u0432\u0435 [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":11556,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-11554","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/posts\/11554","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/comments?post=11554"}],"version-history":[{"count":1,"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/posts\/11554\/revisions"}],"predecessor-version":[{"id":11555,"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/posts\/11554\/revisions\/11555"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/media\/11556"}],"wp:attachment":[{"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/media?parent=11554"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/categories?post=11554"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.kpi.ua\/uk\/wp-json\/wp\/v2\/tags?post=11554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}