BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260522T212125Z UID:960811CD-05FC-431B-94EB-7ED1D92518AA DTSTART;TZID=America/Chicago:20260521T173000 DTEND;TZID=America/Chicago:20260521T203000 DESCRIPTION:The Umpire Assist project is an AI-driven system designed to im prove the consistency and availability of officiating in youth baseball an d softball by automating ball and strike calls. Developed in partnership w ith organizations such as USSSA and Little League Baseball\, the system us es camera-based tracking and machine learning to detect pitch location\, b atter position\, and swing activity\, delivering real-time decisions with a target accuracy of over 97%. It is designed to reduce reliance on multip le umpires while maintaining the integrity of the game\, providing near-in stant feedback (under 500 milliseconds) through visual and audio outputs. The system also incorporates a dynamic strike zone that adjusts based on t he batter\, as well as remote configuration and cloud connectivity for mon itoring\, updates\, and data collection.\n\nThroughout development\, the p roject evolved from a multi-camera\, distributed architecture to a more co st-effective stereoscopic camera system housed in a single installation po int. Early prototypes validated the concept using separate camera angles a nd AI inference\, but challenges related to installation complexity\, cost \, and environmental reliability led to a refined design that emphasizes s implified deployment\, improved thermal management\, and reduced hardware footprint. The final system integrates hardware\, software\, and cloud ser vices into a cohesive platform capable of operating in diverse field condi tions while maintaining high accuracy and reliability. Ongoing efforts foc us on reducing costs\, improving manufacturability\, and preparing the sys tem for broader deployment across youth sports facilities.\n\nSpeaker(s): Jay Guild\, \n\nAgenda: \n5:30 PM – Networking\n\n6:15 PM – Dinner (pi zza\, salad\, and soft drinks provided)\n\n7:00 PM – Presentation\n\nBld g: Tavern Pizza & Pasta Grill\, 1755 50th St\, West Des Moines\, Iowa\, Un ited States\, 50266 LOCATION:Bldg: Tavern Pizza & Pasta Grill\, 1755 50th St\, West Des Moines\ , Iowa\, United States\, 50266 ORGANIZER:jarmstrong@ieee.org SEQUENCE:32 SUMMARY:Central Iowa Section Meeting – Umpire Assist URL;VALUE=URI:https://events.vtools.ieee.org/m/559669 X-ALT-DESC:Description: <br /><p><span style="font-size: 12pt\;">The Umpire Assist project is an AI-driven system designed to improve the consistency and availability of officiating in youth baseball and softball by automat ing ball and strike calls. Developed in partnership with organizations suc h as USSSA and Little League Baseball\, the system uses camera-based track ing and machine learning to detect pitch location\, batter position\, and swing activity\, delivering real-time decisions with a target accuracy of over 97%. It is designed to reduce reliance on multiple umpires while main taining the integrity of the game\, providing near-instant feedback (under 500 milliseconds) through visual and audio outputs. The system also incor porates a dynamic strike zone that adjusts based on the batter\, as well a s remote configuration and cloud connectivity for monitoring\, updates\, a nd data collection.</span></p>\n<p><span style="font-size: 12pt\;">Through out development\, the project evolved from a multi-camera\, distributed ar chitecture to a more cost-effective stereoscopic camera system housed in a single installation point. Early prototypes validated the concept using s eparate camera angles and AI inference\, but challenges related to install ation complexity\, cost\, and environmental reliability led to a refined d esign that emphasizes simplified deployment\, improved thermal management\ , and reduced hardware footprint. The final system integrates hardware\, s oftware\, and cloud services into a cohesive platform capable of operating in diverse field conditions while maintaining high accuracy and reliabili ty. Ongoing efforts focus on reducing costs\, improving manufacturability\ , and preparing the system for broader deployment across youth sports faci lities.</span>&nbsp\;</p><br /><br />Agenda: <br /><p class="MsoNoSpacing" ><span style="font-size: 12.0pt\;">5:30 PM &ndash\; Networking</span></p>\ n<p class="MsoNoSpacing"><span style="font-size: 12.0pt\;">6:15 PM &ndash\ ; Dinner (pizza\, salad\, and soft drinks provided)</span></p>\n<p class=" MsoNoSpacing"><span style="font-size: 12.0pt\;">7:00 PM &ndash\; Presentat ion</span></p> END:VEVENT END:VCALENDAR