Computer Vision By Using C++ and OpenCV with GPU support

What's included:

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• Eligibility to earn a CPD & QLS endorsed certificate.
• Fully Online Recorded Class
• 24/7 & Lifetime Access
• Online support
• No hidden fees

Computer vision has become one of the most exciting areas of modern technology, allowing machines to interpret and process visual data just as humans do. This course focuses on computer vision using C++ and OpenCV with GPU support, providing learners with the foundation to understand image recognition, object detection, and advanced computational techniques. With the power of computer systems and GPU acceleration, tasks such as video processing and pattern recognition become faster, more accurate, and highly scalable.

By exploring computer vision through this course, learners will see how computer science and mathematics combine to create efficient algorithms that replicate human perception. C++ remains a core language for high-performance applications, and OpenCV is widely recognised as a trusted library for building computer vision solutions. With GPU support added, learners gain an appreciation of how computer hardware enhances speed and efficiency. This course emphasises the role of computer vision in industries such as healthcare, security, automotive, and artificial intelligence, where the ability of a computer to interpret images can transform outcomes.

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Learning Outcomes

• Understand the foundations of computer vision using C++ and OpenCV.
• Analyse how GPU support enhances performance in computer applications.
• Explore algorithms used in computer vision for image processing tasks.
• Recognise real-world uses of computer vision in multiple industries.
• Develop computer-based approaches to solve vision and recognition problems.

Who is this course for?

• Students keen to explore computer vision with C++ and OpenCV.
• Developers aiming to strengthen computer programming and vision expertise.
• Engineers interested in GPU acceleration for computer vision projects.
• Researchers studying applications of computer vision in different fields.
• Professionals seeking advanced knowledge of computer vision algorithms.

Career Path

• Computer Vision Engineer – Average Salary: £50,000 per year
• Machine Learning Engineer – Average Salary: £55,000 per year
• AI Research Scientist – Average Salary: £60,000 per year
• Software Developer (C++ Specialism) – Average Salary: £48,000 per year
• Data Scientist – Average Salary: £52,000 per year
• Robotics Engineer – Average Salary: £47,000 per year