BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ThirdEye Data - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://thirdeyedata.ai
X-WR-CALDESC:Events for ThirdEye Data
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Monterrey
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Monterrey:20260430T160000
DTEND;TZID=America/Monterrey:20260430T163000
DTSTAMP:20260626T103450
CREATED:20260423T155958Z
LAST-MODIFIED:20260423T155958Z
UID:10000011-1777564800-1777566600@thirdeyedata.ai
SUMMARY:Live Demo: AI-Driven FSQA System to Detect Anomalies
DESCRIPTION:Food safety leaders shouldn’t have to choose between production speed and quality assurance. \nOn April 30th at 4 PM IST\, we are demonstrating the FSQA AI Monitor. This solution provides an active layer of defense against foreign object contamination\, burnt products\, and stale-quality issues through high-speed computer vision. \nThe Workflow we will showcase: \n\nDetect: AI identifies the anomaly (Foreign object/Burnt/Stale) in the live feed.\nAlert: An immediate notification is triggered for the floor supervisor.\nDocument: A timestamped evidence modal is generated instantly.\nAnalyze: Defect patterns are aggregated into shift-wise reports for management.\n\nStop reacting to quality issues after the shift is over. See how to manage them as they happen.
URL:https://thirdeyedata.ai/event/live-demo-ai-driven-fsqa-system-to-detect-anomalies
LOCATION:LinkedIn Live
CATEGORIES:Live Demos
ATTACH;FMTTYPE=image/png:https://thirdeyedata.ai/wp-content/uploads/2026/04/Automated-FSQA-System.png
ORGANIZER;CN="ThirdEye Data":MAILTO:answers@thirdeyedata.ai
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260416T080000
DTEND;TZID=Asia/Kolkata:20260416T170000
DTSTAMP:20260626T103450
CREATED:20260423T122735Z
LAST-MODIFIED:20260423T122735Z
UID:10000004-1776326400-1776358800@thirdeyedata.ai
SUMMARY:Live Demo: CCTV Vision Count AI for Warehouses
DESCRIPTION:Live Demo of CCTV Vision Count AI for Warehouses: Manual bag counting is slow and prone to error. It’s time to automate your warehouse audits with precision. \nJoin us for a live demonstration of CCTV Vision Count AI. We will show you how our computer vision-powered  AI System delivers 99%+ counting accuracy in real-time industrial environments. \nIn this live session\, you will see: \n\n8 Intelligent Tracking Modes: A look at Conveyor\, Static\, and Godown counting.\nLive CCTV Integration: How to connect your existing feeds for instant monitoring.\nQuantity Count Pro: Using AI to predict hidden sacks in large stacks.\nAnalytics Dashboard: Generating instant audit reports and historical trends.\n\nWhy attend?\nOur solution helps industrial leaders save up to 80% of the time spent on manual stock audits. Whether you manage a factory\, a godown\, or a logistics hub\, this demo will show you how to gain smarter visibility over your inventory. \nWe will conclude with a Q&A session. If you are looking for a more tailored approach\, we can also schedule a 1:1 discussion after the demo to review your specific site requirements.
URL:https://thirdeyedata.ai/event/live-demo-cctv-vision-count-ai-for-warehouses
LOCATION:LinkedIn Live
CATEGORIES:Live Demos
ATTACH;FMTTYPE=image/png:https://thirdeyedata.ai/wp-content/uploads/2026/04/CCTV-Vison-Count-AI.png
ORGANIZER;CN="ThirdEye Data":MAILTO:answers@thirdeyedata.ai
END:VEVENT
END:VCALENDAR