The In-Sight 2800 vision system combines deep learning technology with traditional rule-based vision tools to solve a wide range of applications. From simple presence/absence detection to advanced categorization and sorting tasks, In-Sight 2800 provides an easy to deploy solution for error-proofing.
Designed for factory automation, In-Sight 2800 enables manufacturers of all size to:
• Increase product quality – Catch small, subtle defects with optimized error detection.
• Maximize operational efficiency – Leverage your existing workforce and keep your lines running with fast, intuitive job setup.
• Streamline integration – Take the guesswork out of image optimization and identify the correct combination of accessories in a few button clicks.
Unlimited classification outputs and regions of interest provide ultimate flexibility
Go beyond OK/NG. The powerful edge learning classifier tool identifies and sorts parts based on multiple features or characteristics. This enables you to classify defects into different categories and correctly identify parts with variation. Along with the ability to assign multiple classifications, you can set up multiple regions of interest to inspect different sections of your image with a single trigger.