Lighting is one of the biggest reasons engineers don't get the good image set needed for machine vision systems to accurately perform their task. We've identified 5 key misconceptions that lead to systems designed with insufficient or improper lighting. This session will break down what these misconceptions are using real-world examples and how to rethink machine vision lighting so you can avoid these pitfalls yourself.

Machine vision lighting is about utilizing the physics of light to create contrast so that your program can easily detect its inspection target. Lighting Principles Part 1 will cover the 3 main ways we use geometry (lighting direction) to create contrast: brightfield/darkfield, shadowless, and collimation, and what lights produce these different effects.

In Lighting Principles Part 2, we will cover how the wavelength, polarization, and amplitude of the light will affect the image. We'll also look at various lighting options and tools used to create and control these effects.

After thousands of lighting evaluations, CCS has honed a process for taking each application's unique requirements and restrictions and testing for the most optimal lighting solution. In this session, we will share our playbook on what to do and what to look for to get a repeatable and robust image.

A chance to apply what you learned in training. Attendees will team up to solve applications prepared by the CCS team. We also encourage attendees to bring their own samples to test on site!