Computer Vision Algorithm and Real Time Processing

Course Info

Date:

2025-06-02

Length:

5 Days

Type:

In Classroom

Fees:

£ 4350

City:

London
Available DatesVenue
2025-08-18London
2025-10-20London
2025-12-01London
Available DatesOther Venue
2025-05-19Amsterdam
2025-05-19Barcelona
2025-05-19Paris
2025-05-19Istanbul
2025-05-19Kuala Lumpur
2025-05-19Singapore
2025-05-19Dubai
2025-07-21Dubai
2025-08-18Amsterdam
2025-08-18Singapore
2025-08-18Kuala Lumpur
2025-08-18Istanbul
2025-08-18Barcelona
2025-08-18Paris
2025-09-01Dubai
2025-11-17Amsterdam
2025-11-17Barcelona
2025-11-17Paris
2025-11-17Istanbul
2025-11-17Kuala Lumpur
2025-11-17Singapore
2025-11-17Dubai

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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