Master Computer Vision Through Real Projects

Build practical skills in image recognition, object detection, and machine learning applications. Our hands-on approach connects theory with actual industry challenges you'll face in Taiwan's growing tech sector.

Explore Programs

Computer vision development workspace with multiple monitors showing code and visual algorithms

Three Distinct Learning Journeys

Whether you're starting fresh or advancing existing skills, we've designed focused tracks that match your background and goals. Each path includes mentorship and real project experience.

Foundation Track

Perfect for developers new to computer vision. We start with Python basics and progress through OpenCV fundamentals, image processing concepts, and basic machine learning principles.

12-week structured curriculum
Weekly hands-on workshops
Personal project development
Industry mentor pairing

Professional Development

For experienced programmers ready to specialize. Focus on advanced algorithms, neural networks, and deployment strategies used in Taiwan's manufacturing and tech industries.

8-week intensive program
Real client project work
Advanced algorithm implementation
Portfolio development guidance

Specialist Certification

Advanced practitioners working on cutting-edge applications. Deep learning frameworks, research methodologies, and preparation for senior technical roles.

6-week expert sessions
Research project completion
Industry presentation opportunity
Professional certification

Advanced computer vision laboratory with sophisticated imaging equipment and analysis screens

Learn from Industry Experience

Our curriculum comes directly from solving real problems in Taiwan's electronics manufacturing, autonomous systems, and quality control sectors. You'll work with the same tools and techniques we use in actual production environments.

Every project reflects genuine challenges: from detecting microscopic defects in semiconductor production to developing navigation systems for local delivery robots. This isn't theoretical learning—it's professional preparation.

"The gap between academic computer vision and industry reality is huge. We bridge that gap by teaching you exactly what works in production systems, not just what sounds impressive in research papers."

Our next cohort begins in September 2025. Applications open in June, and we typically receive 3-4 times more applications than spots available. The earlier you apply, the better your chances of securing your preferred track.

Real Projects, Real Impact

Every student completes projects based on actual industry needs. You'll build solutions that companies actually use, creating a portfolio that demonstrates genuine capability rather than academic exercises.

Manufacturing Quality Control

Develop automated inspection systems for local electronics manufacturers. Learn defect detection, statistical process control, and real-time processing constraints.

Retail Analytics Solutions

Create customer behavior analysis systems for Taiwan's retail chains. Practice crowd counting, movement tracking, and privacy-compliant data collection.

Transportation Safety Systems

Build vision systems for vehicle safety and traffic management. Work with real traffic data from Taipei and Kaohsiung urban environments.

Agricultural Monitoring

Design crop monitoring and yield prediction systems. Combine satellite imagery with drone data for Taiwan's diverse agricultural regions.

Computer vision project demonstration showing various real-world applications and student work displays

Dr. Wei-Ming Chen

Lead Instructor & Computer Vision Specialist

After spending eight years developing vision systems for TSMC's advanced manufacturing processes, I realized that most computer vision education focuses on impressive demos rather than reliable production systems.

The reality is different. Real computer vision work involves managing lighting changes, hardware limitations, and the constant pressure of 99.9% uptime requirements. Academic projects rarely prepare students for these challenges.

That's why I shifted from industry consulting to education in 2022. Our students learn the unglamorous but essential skills: robust error handling, efficient memory management, and how to debug vision systems that fail at 3 AM.

Manufacturing Vision Systems

Real-time Processing

Deep Learning Applications

Production Deployment

I still consult for major Taiwan tech companies, which keeps our curriculum current with industry needs. When TSMC faces a new vision challenge, that challenge becomes part of our coursework within months.

Ready to Start Learning?

Our fall 2025 program applications open in June. Schedule a brief conversation to discuss which track matches your background and goals.