Yeungjin University showcases AI, robotics and semiconductor projects at 2026 annual exhibition

by
Kim Byung-jin
Published : Oct. 30, 2026 - 07:57:52
    • Copy Completed!

View Korean Original

A ribbon-cutting ceremony marks the opening of the 2026 Yeungjin Comprehensive Works Exhibition at Baekho Gymnasium on the Yeungjin University campus on Thursday. [Yeungjin University]
A ribbon-cutting ceremony marks the opening of the 2026 Yeungjin Comprehensive Works Exhibition at Baekho Gymnasium on the Yeungjin University campus on Thursday. [Yeungjin University]

Yeungjin University has unveiled a range of industry-ready student projects spanning AI, robotics and semiconductors.

The university opened the 2026 Yeungjin Comprehensive Works Exhibition at Baekho Gymnasium on campus Thursday. Running through Friday, the two-day event features 74 booths where current students display work completed through their major coursework and project programs.

University President Choi Jae-young, student council president Kim Geun-ho and other university officials attended the opening ceremony, cutting the ribbon and touring the exhibition floor.

Participating departments span engineering fields — including computer information, AI-integrated mechanical engineering, semiconductor electronics, and unmanned aerial vehicle and drone programs — as well as nursing, early childhood education, animal health, and beauty and cosmetics.

The computer information division exhibited three AI-based platforms. Team ANG developed an administrative collaboration platform integrating document creation, electronic approvals and schedule management into a single AI and digital transformation tool.

Team CareerLens presented an overseas employment support platform, while Team StudyBridge showcased a personalized learning platform equipped with study material summaries, quiz generation and an AI-driven learning roadmap.

The AI-integrated mechanical engineering division displayed an industrial robot control system driven by gaze and gesture recognition, along with an intelligent traffic signal control system using deep learning and laser sensors.

The semiconductor electronics division presented Wafer Eye, an AI-based wafer defect detection system. The technology analyzes wafer images captured by industrial cameras using the YOLOv8 AI model to detect defects and pinpoint their locations.

The unmanned aerial vehicle and drone department and the renewable energy and electrical engineering division exhibited drone and energy-related projects, while the art media and cartoon animation departments displayed webtoons, illustrations, character designs and animated works.

"This exhibition is an opportunity for students to demonstrate the skills they have built through coursework and projects, and to confirm the practical competencies the industry demands," President Choi said. "We will strengthen industry-linked, practice-centered education to develop specialists who are ready for the field."


kbj7653@heraldcorp.com
This content was produced with the assistance of AI translation services.

MOST READ