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September 17 @ 10:00 am - 11:00 am

automotive Quality Control Vision System

Know More About Automotive Quality Control Through Artificial Vision

Free Webinar by Eines Vision Systems, powered by Automotive Circle

Ensuring consistent quality across the entire automotive manufacturing process has never been more critical. Traditional inspection methods often rely too heavily on human perception, leaving room for variability, undetected defects, costly rework, and dissatisfied customers.

In this exclusive webinar, discover how automation, digitization, and artificial intelligence are revolutionizing automotive quality control. Learn how machine vision systems can help manufacturers detect defects before it’s too late — safeguarding production efficiency, reducing delays, and ensuring customer satisfaction.

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📌 Information at a Glance

Topic: Global Automotive Quality Control through Artificial Vision – Applying Tech Manufacturing Process-Wide
Presenter: 🎤 Salin Álvarez, Business Development Manager
Date: 📅 Wednesday, September 17, 2025
Time:10:00 AM CET
Format: 💻 Online Webinar – Platform: GoToWebinar
Language: 🌍 English
Audience: 🚗 Free, exclusive for Automotive OEMs & Tier 1 Manufacturers

💡 Why Attend?

Understand the most pressing quality control challenges in automotive production
Learn how to eliminate costly errors with vision systems powered by AI
Explore Eines & Konica Minolta solutions for process-wide quality control
Get practical insights into automation, digitization, and predictive quality management
Network with experts and gain strategies to ensure process integrity and customer satisfaction

📝 Webinar Agenda

🔹 10:00 AM – Introduction
Welcome and opening remarks

🔹 10:05 AM – Main Session

🔹 10:45 AM – Q&A Session
Interactive discussion with the speaker

Organizer

Automotive Circle
Phone
+49 511 9910 – 000
View Organizer Website

AUTOMOTIVE QUALITY CONTROL THROUGH ARTIFICIAL VISION

Applying Tech Manufacturing Process-Wide

Discover how to automate every stage of the car manufacturing process using computer vision and AI.

SEPTEMBER 17

10 AM CET / 4 PM CST / 5 PM JST