Malaysian Smart Factory 4.0

Computer Vision with AI Integration

Participants will explore AI techniques for interpreting visual data from text reading and barcode scanning to advanced object detection with models like YOLOE and YOLO-World. The course blends foundational concepts with guided exercises and concludes with an assessment project to demonstrate newly acquired skills.

Instructor-led

Beginner

5 Days

Certification

Overview

This 5-day hands-on training program introduces participants to the exciting world of computer vision, with a focus on applying artificial intelligence to recognize, interpret, and act on visual data. Designed for beginners and mixed level learners, the course takes a practical, step-by-step approach to building vision-based applications—from reading text and scanning barcodes to advanced object detection using AI models like YOLOE and YOLO-World. Participants will gain foundational knowledge, apply what they learn in guided activities, and conclude with an assessment project to showcase their skills.

Who Should Attend
  • Engineers

  • System Developers

  • Engineering or computer science students

  • Personnel with good computer literacy

Duration

5 Days

Training Methodology

Our course employs a balanced mix of engaging learning activities.

  • Knowledge Delivery: Theoretical knowledge of computer vision and AI integration will be delivered through interactive lectures.
  • Step-by-step Progress: The training follows a structured path, starting from basic tasks like text reading, progressing to object detection, and finally building full vision systems.
  • Practical Hands-On Exercise: Hands-on activities and exercises will be carried out to help participants apply the concepts learned during the lectures.
  • Visual and Interactive Learning: Live demos and visual aids help simplify complex ideas, showing how models work and what the AI “sees” in real-time.
  • Competency Check Assessment: Learners complete a mini project on Day 5 to demonstrate their understanding, creativity, and ability to apply AI tools to solve practical problems.
Learning Outcomes
  • Understand the Basics of Computer Vision – Gain a clear understanding of what computer vision is and how it is applied in everyday industries such as manufacturing, logistics, and safety.

  • Apply OCR and Barcode Recognition Techniques – Learn how to extract text from images and scan barcodes/QR codes using simple vision tools for real-world automation tasks.

  • Improve Image Quality for AI Models – Develop skills in cleaning and preparing images (pre-processing) to help AI systems “see” better and make more accurate decisions.

  • Implement Object Detection with AI Models – Use AI tools like YOLOE and YOLO-World to detect and recognize objects, both known and new, in still images or live camera feeds.

  • Design and Build End-to-End Vision Applications – Integrate input, processing, detection, and output into a functional computer vision pipeline and create a mini project to demonstrate what you’ve learned.

Interested to know the course outlines?