AIA’s CVP-Advanced curriculum is the vision industry’s most comprehensive training program available today. The program consists of 12 in-depth courses that cover critical areas of understanding that are instrumental in a successful career as a vision professional. Attaining the CVP-Advanced certification helps you clearly demonstrate your specialized skills in a competitive global market. You’ll benefit from an increased confidence in your abilities from your employer, peers and customers. The CVP-Advanced courses are now available to be taken online! Pricing and usage information is included below:
AIA also teaches these courses in-person once per year at Automate (Detroit, May 17-20, 2021) and The Vision Show (Boston, 2022). *Pricing for in-person training varies
The CVP-Advanced exam is now available virtually with a live proctor. Click here for a list of all upcoming dates and times for CVP testing.
There is a $495 cost per individual to take the CVP-Advanced exam. One free retake is included if a passing grade is not obtained on the first attempt.
Below is a list of all CVP-Advanced courses and descriptions. Sign up today to distinguish yourself as one of the vision industry’s elite!
AIA CVP Advanced Courses
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 Vision System Integration
This course will detail proper techniques for implementing a vision system including application analysis, project specification and implementation of components. It will also address integration of a machine vision system into a full automation system including network communications. Attendees should possess a basic understanding of machine vision, optics and lighting.
Reliable Vision Application Development
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. Individuals of all experience levels will benefit from the techniques that will be conveyed during this course.
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.
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, identification and color matching.
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.
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.
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.
Particle Analysis and Classification Techniques
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.
Designing High-Speed and Linescan Vision Systems
In this course you learn how latency and determinism relates to high-speed and to real-time performance and how the different types of vision system components affect the latency of the vision system. Topics cover components for image acquisition as well as different approaches to image processing, including processing architecture/hardware, operating system, application software, and resynchronization. You’ll learn about the performance parameters you must know to quantify speed and real-time performance and a methodology for guiding the design of a vision system. Example designs illustrate how you use these parameters and techniques to achieve design performance goals.