Computer Vision All-in-One: 10 Practical Projects Completed in 12 Hours

Computer Vision in Practice: From Theory to Project 👍

Learn computer vision and deep learning systematically with an 'L'-shaped learning structure that can be applied directly to practice. From basic theories to advanced techniques, you can acquire all the capabilities needed in the field through practical projects. Open the path to becoming an AI expert with 10 practical projects using Python, OpenCV, and deep learning.

10 Real-World Projects: Experience the Core of Computer Vision! ✌

In addition to the six projects introduced below, this course offers many more exciting and practical projects. You will be able to further enhance your computer vision skills through projects applicable to various fields such as product defect inspection, real-time facial emotion analysis, abnormal behavior detection, and disaster prevention.

Going beyond theory and solving real-world problems will greatly enhance your capabilities as an AI developer.

Computer Vision: A New World of Vision Opened by AI 🤔

Computer vision technology is revolutionizing our daily lives. This field of AI is moving beyond simply viewing images to understanding and interpreting the world around us.

Computer Vision in Our Lives

Computer vision is already being used in a variety of fields:

• Smartphone Face Recognition Unlock

• Road situation recognition for autonomous vehicles

• Diagnosing diseases through medical imaging

• Detection of defects in manufacturing processes

The potential of future technologies

Changes we will experience in the future:

• Fully autonomous car

• Smart devices that provide information through cameras

• AI-based early disease detection system

AI is moving beyond image processing to understanding and creating images.

Life-Changing Technology

Computer vision is a revolutionary tool that has the potential to fundamentally change our lives and work. For example, personalized exercise coaching through 3D motion analysis or AI-based professional video production tools will become possible. The future of computer vision is full of infinite possibilities. Learning and utilizing this technology will be a smart choice to prepare for the future.

Why this course? 😊

📌 A composition that even beginners can follow

• Even if you are new to deep learning and computer vision, it's okay.

• We explain complex concepts in a friendly, easy-to-understand manner.

• A friendly explanation of Python grammar and OpenCV basics.

📌 Practical lectures

• We don't just focus on theory, we practice in real time using actual data.

• Examples: facial recognition projects, defect detection projects, motion tracking projects.

📌 Reflecting the latest technology

• We cover cutting-edge tools and techniques such as YOLO, U-Net, and Mediapipe.

• We will systematically introduce technologies that will be continuously updated in the future.

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💡 After taking the course, it is your future.

This course will help you become a computer vision expert. It introduces the core competencies and opportunities you will gain after taking the course.

• Master the core computer vision technologies

  • Skillful use of industry standard tools such as OpenCV, YOLO, and Mediapipe

  • Understanding and implementing core technology principles from image preprocessing to object detection and pose estimation

• Gain practical experience through real-world projects

  • Carry out various projects based on real data

    Developing advanced solutions leveraging the synergy of computer vision and deep learning

  • Learn practical optimization and application methods for the latest technologies such as YOLO and Mediapipe.

  • Improve your ability to develop solutions by applying theory to real-world problems

• Building a strong portfolio for employment

  • Completed practical projects such as "Soccer Match Analysis", "Traffic Sign Detection", and "Safety Equipment Wear Detection"

  • Create a differentiated portfolio that catches the interviewer's eye

• Gain practical, actionable skills that you can apply immediately

  • Ability to design and prototype computer vision-based solutions

  • Know-how applied to various industries such as sports, retail, and logistics

• Strengthening AI and deep learning convergence capabilities

  • Developing advanced solutions leveraging the synergy of computer vision and deep learning

  • Learn practical optimization and application methods for the latest technologies such as YOLO and Mediapipe.

• Laying the foundation for career growth

  • Ready for employment in machine learning, deep learning, and data analysis

  • Building a differentiated career based on practical project experience

Things to note before taking the class 🙌