Free Hands-On Workshop · Austin, TX

Check. Detect. Solve.

AI-Powered Vision Systems for Quality Inspection & Root Cause Analysis — a 2.5-hour hands-on workshop turning your shop floor into an autonomous, data-driven quality engine.

Tuesday · June 24, 202517:30 – 20:00 CTCapital Factory · Austin

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AI vision system detecting defects on a manufactured component in real time

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The Workshop

From reactive inspection to proactive quality.

Manufacturing quality has never been under greater scrutiny. As expectations rise and labor shortages persist, manual inspection — prone to inconsistency, fatigue, and scale limitations — no longer meets the demands of modern production.

This intensive, hands-on workshop bridges emerging AI technology and the shop floor by immersing participants in real-time computer vision for surface-defect and assembly-error detection across electronics, automotive, textile, and industrial component manufacturing.

Beyond awareness — you'll train classification models, detect defects, and run AI-assisted measurements on live camera setups with real industrial datasets, then learn to trace any defect back to its root cause and prevent recurrence.

What You'll Learn

Seven outcomes, one afternoon.

AI Computer Vision

How AI-powered vision automates quality inspection across industries.

Real-Time Defect Detection

Surface defects and assembly errors detected in real time.

RCA-AI Frameworks

Root cause analysis integrated with AI vision outputs.

Hands-On Model Training

Classify OK vs. NOK surfaces using real industrial datasets.

Presence Detection

Live camera systems for component presence and measurement.

Deployment Essentials

Lighting, fixtures, calibration, and shop-floor integration.

ROI & Readiness

Evaluate AI inspection readiness and build a compelling business case.

At a Glance

Workshop details.

Format: Hands-on practical workshop with live demonstrations and exercises
Duration: 2.5 hours (including networking, Q&A, and open discussion)
Level: Intermediate — no prior AI or coding experience required
Target Audience: Quality Managers, Manufacturing & Process Engineers, Operations Leaders, Continuous Improvement & Innovation Teams
Key Technologies: AI-Powered Computer Vision, Machine Learning, Root Cause Analysis Frameworks, Lean-AI Integration
Hands-On Exercises: Surface defect classification · Component presence detection
Admission: Free · Seating is limited

Meet the Presenters

Guided by globally recognized practitioners.

Dr. Adil F. Dalal· DBA, DSc

CEO, Pinnacle Process Solutions International

Dr. Dalal is a globally recognized authority in Operational Excellence, Lean-AI integration, and enterprise transformation. As CEO and Principal Founder of Pinnacle Process Solutions International (Austin, TX), he has trained over 9,500 professionals across 23 countries and 25 industries. He holds doctorates in Business Administration and Science and is the author of seven books, including the landmark Lean-AI: A Humanistic Approach to Integrating Lean and AI (CRC Press, 2025).

He serves as Chair of the ASQ Lean Enterprise Division, sits on the Forbes Executive Coaching Council, and the board of the US India Chamber of Commerce Austin Chapter. He is the recipient of 19 international awards including ASQ Quality Leader of the Year 2026 and the prestigious ASQ Philip Crosby Medal.

Lean-AI™Superconscious Leadership™V-Factor™

Anastasiia Glebova

COO, O-HIVE Inc.

AI Vision & Operations Leader

Anastasiia is a technology entrepreneur and operations leader with over a decade across supply chain, quality, advanced analytics, and process excellence. As COO of O-HIVE Inc. — a pioneer in AI-powered spatial vision intelligence and autonomous industrial robotics — she leads scaling operations and aligning product development with real-world manufacturing needs.

Previously CEO of Datu (AI-powered supply chain analytics) and a leader at KONE, Konecranes, and Wärtsilä, where she drove global analytics and process-mining initiatives that improved on-time delivery and operational efficiency. Her hands-on approach makes her a compelling guide for practitioners ready to put AI vision to work on the shop floor.

AI VisionSpatial IntelligenceProcess Mining

"The future of quality is intelligent, autonomous, and within reach."

Capital Factory event space with view of the Texas State Capitol

The Venue

Room "Janis", Capital Factory — 16th floor.

One of Austin's most iconic innovation venues, looking out over the Texas Capitol.

Date
Tuesday, June 24, 2025
Time
17:30 – 20:00 Central
Address
701 Brazos St, Austin, TX 78701 · Capital Factory, 16th Floor, Room Janis

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Reserve Your Seat

Join us — admission is free.

Seating in Room Janis is limited. Register below to confirm your spot. You'll receive a confirmation email with full details and pre-workshop materials.

2.5 hours of hands-on, live AI vision demos
Real datasets · OK / NOK classification exercise
Networking with practitioners and operations leaders
Take-home framework for evaluating AI inspection readiness