Courses Included in the CVP-Advanced Certification
The CVP-Advanced curriculum has been meticulously curated and recently updated to elevate the expertise of seasoned vision professionals. These courses delve into cutting-edge topics and sophisticated techniques essential for tackling the most complex challenges in the vision and imaging industry. From advanced optics and vision lighting to machine learning and robotics integration, each course offers unparalleled insights into the forefront of vision technology. Explore our comprehensive selection of courses below to expand your knowledge and propel your career to new heights as a Certified Vision Professional.
Advanced Optics for Vision
Designed for the engineering professional, this course concentrates on real world techniques for putting together optic systems that work. You’ll learn how to select proper lens components, optomechanical layout, including system bends, and mounting techniques. Prior attendance at a Basic Optics course is encouraged, but not required.
Advanced Vision Lighting
Designed for the engineering professional, this course concentrates on real world techniques for successful illumination. You’ll learn how to select proper illumination wavelengths and how to deal with complex part surface geometries. Other topics include illumination integration, and controlling back reflections. Prior attendance at a Basic Lighting course is encouraged, but not required.
Advanced Camera and Image Sensor Technology
Explore the different levels of image quality at the sensor level. Details relating to quantum efficiency, dark noise, signal to noise ratio will be discussed in detail. In addition to topics related to area scan cameras, the proper usage of line scan and TDI cameras will be reviewed. Sensor size classification and new camera mounting standardization will be covered.
3D Vision System Development
Learn how advancements in 3-D camera technology are enabling new solutions for more applications than ever before. Review the many vision-based 3-D measurement techniques and which achieve the best results. This session will provide real application techniques you can use in electronics, pharmaceutical, food & beverage, aerospace, automotive and many other industries.
Introduction to Machine Learning
Designing Linescan Vision Systems
In this course you learn about linescan imaging, and how using a scanning technique can be beneficial for efficient image capture of moving objects. Topics cover components for line-scan image acquisition, when to use line-scan, how to achieve optimum results, and trends in the industry. When you complete this course, you will be able to recognize candidate applications for line-scan imaging and understand how to develop and implement line-scan solutions.
High-Speed, Real-Time Machine Vision
This course gives you the insights to achieve the speed and performance you need in your vision systems including system architecture, programming tips, and common challenges. You will understand the ways high-speed is determined and the different real-time performance requirements. The course follows two vision system designs to see how high-speed and real-time techniques are put into practice.
Advanced Vision Guided Robotics
Vision guidance is common in robot applications. This course will detail proper techniques for implementing a vision guidance system and will include the latest technology advances. Attendees should possess basic robotic and system integration knowledge.
Non-Visible Imaging Theory and Techniques
Non-visible imaging methods offer unique benefits for a variety of vision tasks. In this session, you’ll learn more about infrared and thermal techniques and better understand if non-visible imaging solutions are right for your specific needs.
Advanced Color Machine Vision and Applications
Color is important for a growing number of machine vision applications in food, pharmaceutical, automotive and many other markets. This course will start with how color images are formed and then review aspects of human color vision that are important in designing a color machine vision system. Then we concentrate on how to build and apply color machine vision systems to tasks such as automated inspection, tracking, and identification and color matching.
Metrology and 2D Calibration Techniques
Participants will gain an understanding of techniques for creating systems that yield reliable and repeatable measurement results. Practices for proper calibration of imaging systems ranging from appropriate usage of targets to accurate algorithm deployment will be discussed. How to manage images correctly to create repeatable results will be reviewed. Anyone who is developing metrology systems or having and need for accurate measurements will benefit from this curriculum.
Advanced Image Processing
The ability to correctly analyze and classify details and particles in an image can be critical to the success of an imaging application. Strategies around thresholding, advanced morphology and the correct usage of particle filters will be covered. Additional topics include training strategies, images transforms, and image filtering.
Advanced Vision System Integration
Producing a reliable vision system is no accident. It begins with creating a strong specification that carries through to component selection to system development and finally deployment. This course will help the end user and the integrator walk through the steps needed to enhance their projects success.