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.
By the end of this course, participants will have developed a deep understanding of key computer vision concepts and their real-world applications. Participants will be able to:
- Understand the fundamentals of computer vision and image processing, including their benefits and applications
- Implement image processing techniques, such as filtering, noise reduction, enhancement, and image transformation using Python and OpenCV
- Apply feature extraction, object detection, and object segmentation techniques using deep learning models
- Develop and train CNN models to solve computer vision tasks and optimize real-time processing
- Implement real-time processing and optimizing techniques to meet performance constraints and improve image processing systems
- Calculate depth in 2D images implement reconstruction techniques to transform images from 2D to 3D
This course is designed for professionals who work with or are interested in computer vision and real-time image processing. It is particularly beneficial for:
- Software Engineering
- Data Scientists
- Machine Learning Engineers
- Developers
- AI Enthusiasts
Our courses in Kuala Lumpur take place at the following location :
Once you register, we will subsequently send you the course details, including the location, trainer, and other logistical information.
Pay Attention, Please! The course location at our offices is subject to availability. Should our office be unavailable, we will secure an alternative nearby venue and promptly inform you of the change. The exact time and location will be confirmed one week prior to the course commencement.