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CODE: NAI08
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course introduces participants to computer vision using Python and the OpenCV library. It examines fundamental techniques for image processing, feature detection, object recognition, and video analysis. It is designed to give practical skills in designing vision-based solutions for industries such as security, healthcare, robotics, and automation. Through hands-on coding sessions, participants will build applications that interpret visual data, perform real-time image manipulation, and recognize patterns and shapes.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the principles and applications of computer vision.
Use OpenCV to read, process, and analyze images and videos.
Perform operations like edge detection, filtering, and object tracking.
Implement facial and object recognition systems.
Work with contours, color spaces, and geometric transformations.
Develop real-time computer vision applications using Python.
Integrate computer vision models into practical workflows.
Apply computer vision techniques to solve real-world challenges.
At the end of this course, you’ll understand:
This course is ideal for data scientists, software developers, AI engineers, robotics developers, and tech enthusiasts who want to build image and video analysis systems. It is also of value to researchers, students, and professionals working in domains that require visual data interpretation. A basic understanding of Python programming and machine learning concepts is recommended.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
