Call Cognex Sales: +36 800 80291
- Contact Us
Call Cognex Sales: +36 800 80291
Download Product Literature
Cookie Preference Center
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms.
You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information.
These cookies enable us to count visits and traffic sources so we can measure and improve the performance of our website. They help us to know which pages are the most and least popular and see how visitors move around the site.
All information that these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages.
If you do not allow these cookies then some or all of these services may not function properly.
This application note explains how Cognex deep learning-based image analysis software simplifies the automated analysis of decorated watch parts. Subtle scratches or dents are often only visible from certain camera angles, part orientations and illumination angles. The Defect Detection Tool rotates the part on an axis in order to reliable detect and report defects.
