EINES-AI Machine Vision Enabling Vehicle Manufacturing -- Quality Control from Welding to General Assay

As the automotive industry continues to advance toward electrification and intelligent technologies, mixed-model line production and diversified configurations have become the norm. Throughout the lengthy vehicle manufacturing process, from the dimensional alignment of the welded body-in-white to door closure, component assembly, and final exterior finishing in final assembly, any quality deviation at any stage will be magnified by the time of final delivery.

Faced with complex inspection tasks, traditional manual inspection struggles to meet the high-precision, end-to-end quality control requirements of body-in-white and final assembly in terms of both efficiency and result consistency. How can quality requirements be translated into stable, traceable online inspection processes? Machine Vision and AI detection technology can achieve standardized implementation of gap surface difference, appearance defect and assembly error prevention. EINES integrated tunnel system is the benchmark in this field.

The EINES integrated tunnel system combines gap-and-flush measurement, component error-proofing, and appearance defect inspection into a single platform. Using non-contact inline inspection, it verifies body-in-white assembly consistency and component specifications, and, leveraging light-reflection analysis and deep-learning technologies, detects surface defects such as scratches and dents. Meanwhile, the system supports the storage, analysis, and traceability of test data, providing a basis for subsequent corrective actions and preventive quality analysis, and helping automotive manufacturers advance the automation and standardization of testing processes.

On Thursday, December 3, 14:00-15:00, Jung will hold an online seminar on "EINES-AI machine vision enabled vehicle manufacturing: quality control from welding to final assembly, yuan Jianye, head of automotive business in South China of Konica Minolta, is specially invited to deeply disassemble EINES detection system to empower the whole process quality control of the whole vehicle.

Sign up immediately and discuss with industry experts the implementation ideas of machine vision inspection from welding to final assembly!

SPEAKER

Yuan Jianye Konica Minolta-head of South China automotive business

Deep cultivation in the field of automobile complete vehicle, parts manufacturing and automatic intelligent manufacturing for many years, familiar with the whole process of painting and assembly. Focus on the application of intelligent systems, have rich experience in project implementation and technical services, and provide technical support for intelligent quality upgrading for household and vehicle enterprises.

ORGANIZER

Konica Minolta Color Technology

Konica Minolta is an established optical and color technology enterprise with a history of more than 140 years. Its core orientation is "the standard for measuring light and color". Its business covers business office, digital printing, medical imaging, industrial measuring instruments and other fields. ‌‌

PROCESS

1. Fill in the live registration form

2. After the review is passed, you will receive a link to the live broadcast participants.

3. The live broadcast will start at 14:00 on December 03, 2026. click the link to enter the live broadcast.

(Note: Please keep in mind the mobile phone and email address filled in during registration. We recommend that you use common mobile phones and email addresses to avoid missing meeting reminders)

4. If you cannot attend the meeting on the same day, you can also register. After the meeting, we will have a conference broadcast and send relevant links to your registered email address. You can watch it at any time at your convenience.

CONTACT

Miss Clytie Ma

86-21-62895533x166

Email: Clytiema@ringiertrade.com