BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240416T163537Z UID:1CD5BA94-E40A-479D-BE7C-FC83F80A5D40 DTSTART;TZID=America/Los_Angeles:20240415T140000 DTEND;TZID=America/Los_Angeles:20240415T145000 DESCRIPTION:This lecture presents a detailed focus on the use of machine vi sion techniques in industrial inspection applications. The lecture will pr ovide insights on a range of inspection tasks\, drawn from their cutting-e dge work in academia and industry\, covering practical issues of vision sy stem integration for real-world applications.\n\nAdvanced machine vision s ystems may incorporate multiple imaging and/or vision modalities to provid e robust solutions to complex situations and problems in industrial applic ations. A diverse range of industries\, including aerospace\, automotive\, electronics\, pharmaceutical\, biomedical\, semiconductor\, and food/beve rage\, and manufacturing\, etc.\, have benefited from recent advances in m ulti-modal inspection technologies. This lecture highlights both the advan ces in technologies and vision system integration for practical applicatio ns. The advances provide an insight into recent progresses and development s of imaging and vision techniques for varied industrial inspection tasks while the applications present the state-of-the-art of imaging and vision system integration\, implementation\, and optimization.\n\nTopics and feat ures:\n\n- Presents a comprehensive review of state-of-the-art hardware an d software tools for machine vision\, and the evolution of algorithms for industrial inspection\n- Includes in-depth descriptions of advanced inspec tion methodologies and machine vision technologies for specific needs\n- D iscusses the latest developments and future trends in imaging and vision t echniques for industrial inspection tasks\n- Provides a focus on imaging a nd vision system integration\, implementation\, and optimization\n- Descri bes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process\n\nBridging the gap between theoretical knowledge and engineering practice\, this lecture will attrac t graduate students interested in imaging\, machine vision\, and industria l inspection. The lecture also provides an excellent reference for researc hers seeking to develop innovative solutions to tackle practical challenge s\, and for professional engineers who will benefit from the coverage of a pplications at both system and component level.\n\nSpeaker(s): Dr. Zheng L iu\n\nVirtual: https://events.vtools.ieee.org/m/408646 LOCATION:Virtual: https://events.vtools.ieee.org/m/408646 ORGANIZER:zahra.najafi@csus.edu SEQUENCE:29 SUMMARY:Integrated Imaging and Vision Techniques for Industrial Inspection URL;VALUE=URI:https://events.vtools.ieee.org/m/408646 X-ALT-DESC:Description: <br /><p>This lecture presents a detailed focus on the use of machine vision techniques in industrial inspection applications . The lecture will provide insights on a range of inspection tasks\, drawn from their cutting-edge work in academia and industry\, covering practica l issues of vision system integration for real-world applications.</p>\n<p >Advanced machine vision systems may incorporate multiple imaging and/or v ision modalities to provide robust solutions to complex situations and pro blems in industrial applications. A diverse range of industries\, includin g aerospace\, automotive\, electronics\, pharmaceutical\, biomedical\, sem iconductor\, and food/beverage\, and manufacturing\, etc.\, have benefited from recent advances in multi-modal inspection technologies. This lecture highlights both the advances in technologies and vision system integratio n for practical applications. The advances provide an insight into recent progresses and developments of imaging and vision techniques for varied in dustrial inspection tasks while the applications present the state-of-the- art of imaging and vision system integration\, implementation\, and optimi zation.</p>\n<p>Topics and features:</p>\n<ul>\n<li>Presents a comprehensi ve review of state-of-the-art hardware and software tools for machine visi on\, and the evolution of algorithms for industrial inspection</li>\n<li>I ncludes in-depth descriptions of advanced inspection methodologies and mac hine vision technologies for specific needs</li>\n<li>Discusses the latest developments and future trends in imaging and vision techniques for indus trial inspection tasks</li>\n<li>Provides a focus on imaging and vision sy stem integration\, implementation\, and optimization</li>\n<li>Describes t he pitfalls and barriers to developing successful inspection systems for s mooth and efficient manufacturing process</li>\n</ul>\n<p>Bridging the gap between theoretical knowledge and engineering practice\, this lecture wil l attract graduate students interested in imaging\, machine vision\, and i ndustrial inspection. The lecture also provides an excellent reference for researchers seeking to develop innovative solutions to tackle practical c hallenges\, and for professional engineers who will benefit from the cover age of applications at both system and component level.</p> END:VEVENT END:VCALENDAR