Computer Vision Algorithm and Real Time Processing

Course Info

Date:

2026-11-02

Length:

5 Days

Type:

In Classroom

Fees:

£ 4590

City:

Hong Kong

Course ID:

AINL1022
Available DatesVenue
2026-02-16Hong Kong
2026-05-18Hong Kong
2026-08-03Hong Kong
Available DatesOther Venue
2025-09-01Dubai
2025-10-20London
2025-11-17Dubai
2025-11-17Singapore
2025-11-17Kuala Lumpur
2025-11-17Istanbul
2025-11-17Paris
2025-11-17Barcelona
2025-11-17Amsterdam
2025-12-01London
2026-01-19Dubai
2026-02-16Singapore
2026-02-16Amsterdam
2026-02-16Paris
2026-02-16Istanbul
2026-02-16Kuala Lumpur
2026-02-16Barcelona
2026-02-16London
2026-03-02Dubai
2026-04-20London
2026-05-18Singapore
2026-05-18Kuala Lumpur
2026-05-18Istanbul
2026-05-18Amsterdam
2026-05-18Dubai
2026-05-18Paris
2026-05-18Barcelona
2026-06-01London
2026-07-20Dubai
2026-08-03Singapore
2026-08-03Barcelona
2026-08-03Amsterdam
2026-08-03Paris
2026-08-03Istanbul
2026-08-03Kuala Lumpur
2026-08-03London
2026-09-21Dubai
2026-10-19London
2026-11-02Barcelona
2026-11-02Singapore
2026-11-02Amsterdam
2026-11-02Paris
2026-11-02Istanbul
2026-11-02Kuala Lumpur
2026-11-02Dubai
2026-12-21London

Course Details

  • Introduction

  • Objective

  • Who should attend

  • Course Location

Computer vision is a field that focuses on enabling machines to interpret and make decisions based on visual input, simulating the human ability to perceive and understand images. 


With the increasing demand for automated visual analysis across industries such as healthcare, robotics, and security, understanding the algorithms and real-time processing techniques behind computer vision is more important than ever. The Computer Vision Algorithm and Real-Time Processing course provides a detailed exploration of the fundamental concepts, methods, and technologies that drive modern computer vision systems. 


It covers image processing techniques, feature extraction, object detection, and advanced deep learning models. The course emphasizes both theoretical knowledge and practical skills, using Python and OpenCV for hands-on activities to ensure that participants gain a solid understanding of real-time computer vision applications.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Introduction to Computer Vision and Image Processing 


  • Introduction to computer vision: Concepts, benefits and applications 
  • Exploring the historical evolution of computer vision 
  • Distinguishing between traditional computer vision and AI-based approaches 
  • Definition and applications of image processing 
  • Exploring image processing techniques:


  1. Filtering 
  2. Noise reduction 
  3. Enhancement 
  4. Image transformation  



  • Activity: Performing basic image manipulation techniques using Python and OpenCV


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