BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Africa/Nairobi BEGIN:STANDARD DTSTART:19420801T001500 TZOFFSETFROM:+0245 TZOFFSETTO:+0300 TZNAME:EAT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20261030T093052Z UID:B9831AFE-9C2D-4A48-BA77-E0BE75119225 DTSTART;TZID=Africa/Nairobi:20261028T200000 DTEND;TZID=Africa/Nairobi:20261028T210000 DESCRIPTION:The IEEE AP-S Dedan Kimathi University Student Branch Chapter a nd the joint IEEE IES/IAS Strathmore Student Branch Chapter present Sessio n 4 of the Industrial Automation Webinar Series- Quality Control: Moderniz ing Industrial Automation.\n\nFactories are moving from traditional contro l approaches toward AI-driven ones\, but making computer vision and machin e learning work on a live production line is very different from making it work in a notebook. This session looks at what that takes in practice\, f rom constrained edge hardware to real-time inspection.\n\nOur speaker\, Mr . Lenny Ng’ang’a of the Japan International Cooperation Agency (JICA) and Robotics Dojo\, has led research in industrial Wire Arc Additive Manuf acturing\, developed custom robotics platforms\, and designed automated co ntrol infrastructure.\n\nTopics to be covered:\n\n- Present vs. future aut omation approaches: traditional control compared with the adoption of AI\n - Running computer vision and ML models on constrained edge hardware (micr ocontrollers\, edge TPUs\, embedded compute) compared with state-of-the-ar t hardware\n- Automated defect detection\, real-time quality control\, and visual inspection on factory lines\n- Real-time inference challenges: lat ency\, power constraints\, and sensor-to-model pipelines\n\nThis session i s for anyone interested in industrial automation\, robotics\, or applied A I\, whether for coursework\, research\, or industry work.\n\nSpeaker(s): M r.Lenny\, \n\nVirtual: https://events.vtools.ieee.org/m/588510 LOCATION:Virtual: https://events.vtools.ieee.org/m/588510 ORGANIZER:suieeeies@gmail.com SEQUENCE:39 SUMMARY:Quality Control: Modernizing Industrial Automation URL;VALUE=URI:https://events.vtools.ieee.org/m/588510 X-ALT-DESC:Description: <br /><p class="MsoNormal"><span style="font-family : 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi\; mso-hansi- theme-font: major-bidi\; mso-bidi-theme-font: major-bidi\;">The IEEE AP-S Dedan Kimathi University Student Branch Chapter and the joint IEEE IES/IAS Strathmore Student Branch Chapter present Session 4 of the Industrial Aut omation Webinar Series</span><span lang="EN-US" style="font-family: 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi\; mso-hansi-theme-fo nt: major-bidi\; mso-bidi-theme-font: major-bidi\; mso-ansi-language: EN-U S\;">- </span><span style="font-family: 'Times New Roman'\,serif\; mso-asc ii-theme-font: major-bidi\; mso-hansi-theme-font: major-bidi\; mso-bidi-th eme-font: major-bidi\;">Quality Control: Modernizing Industrial Automation .</span></p>\n<p class="MsoNormal"><span style="font-family: 'Times New Ro man'\,serif\; mso-ascii-theme-font: major-bidi\; mso-hansi-theme-font: maj or-bidi\; mso-bidi-theme-font: major-bidi\;">Factories are moving from tra ditional control approaches toward AI-driven ones\, but making computer vi sion and machine learning work on a live production line is very different from making it work in a notebook. This session looks at what that takes in practice\, from constrained edge hardware to real-time inspection.</spa n></p>\n<p class="MsoNormal"><span style="font-family: 'Times New Roman'\, serif\; mso-ascii-theme-font: major-bidi\; mso-hansi-theme-font: major-bid i\; mso-bidi-theme-font: major-bidi\;">Our speaker\, Mr. Lenny Ng</span><s pan lang="EN-US" style="font-family: 'Times New Roman'\,serif\; mso-ascii- theme-font: major-bidi\; mso-hansi-theme-font: major-bidi\; mso-bidi-theme -font: major-bidi\; mso-ansi-language: EN-US\;">&rsquo\;</span><span style ="font-family: 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi \; mso-hansi-theme-font: major-bidi\; mso-bidi-theme-font: major-bidi\;">a ng</span><span lang="EN-US" style="font-family: 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi\; mso-hansi-theme-font: major-bidi\; mso -bidi-theme-font: major-bidi\; mso-ansi-language: EN-US\;">&rsquo\;</span> <span style="font-family: 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi\; mso-hansi-theme-font: major-bidi\; mso-bidi-theme-font: majo r-bidi\;">a&nbsp\;of the Japan International Cooperation Agency (JICA) and Robotics Dojo\, has led research in industrial Wire Arc Additive Manufact uring\, developed custom robotics platforms\, and designed automated contr ol infrastructure.</span></p>\n<p class="MsoNormal"><span style="font-fami ly: 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi\; mso-hans i-theme-font: major-bidi\; mso-bidi-theme-font: major-bidi\;">Topics to be covered:</span></p>\n<ul style="margin-top: 0in\;" type="disc">\n<li clas s="MsoNormal" style="mso-list: l0 level1 lfo1\; tab-stops: list .5in\;"><s pan style="font-family: 'Times New Roman'\,serif\; mso-ascii-theme-font: m ajor-bidi\; mso-hansi-theme-font: major-bidi\; mso-bidi-theme-font: major- bidi\;">Present vs. future automation approaches: traditional control comp ared with the adoption of AI</span></li>\n<li class="MsoNormal" style="mso -list: l0 level1 lfo1\; tab-stops: list .5in\;"><span style="font-family: 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi\; mso-hansi-th eme-font: major-bidi\; mso-bidi-theme-font: major-bidi\;">Running computer vision and ML models on constrained edge hardware (microcontrollers\, edg e TPUs\, embedded compute) compared with state-of-the-art hardware</span>< /li>\n<li class="MsoNormal" style="mso-list: l0 level1 lfo1\; tab-stops: l ist .5in\;"><span style="font-family: 'Times New Roman'\,serif\; mso-ascii -theme-font: major-bidi\; mso-hansi-theme-font: major-bidi\; mso-bidi-them e-font: major-bidi\;">Automated defect detection\, real-time quality contr ol\, and visual inspection on factory lines</span></li>\n<li class="MsoNor mal" style="mso-list: l0 level1 lfo1\; tab-stops: list .5in\;"><span style ="font-family: 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi \; mso-hansi-theme-font: major-bidi\; mso-bidi-theme-font: major-bidi\;">R eal-time inference challenges: latency\, power constraints\, and sensor-to -model pipelines</span></li>\n</ul>\n<p class="MsoNormal"><span style="fon t-family: 'Times New Roman'\,serif\; mso-ascii-theme-font: major-bidi\; ms o-hansi-theme-font: major-bidi\; mso-bidi-theme-font: major-bidi\;">This s ession is for anyone interested in industrial automation\, robotics\, or a pplied AI\, whether for coursework\, research\, or industry work.</span></ p>\n<p class="MsoNormal"><span style="font-family: 'Times New Roman'\,seri f\; mso-ascii-theme-font: major-bidi\; mso-hansi-theme-font: major-bidi\; mso-bidi-theme-font: major-bidi\;">&nbsp\;</span></p> END:VEVENT END:VCALENDAR