Automate error detection in minutes – no experience required
The In-Sight 2800 vision system combines artificial intelligence (AI) with traditional rule-based vision tools to solve a wide range of applications. From presence/absence detection to sortation and character reading, 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:
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.
Read characters on reflective, low-contrast, and non-flat surfaces with ease. The edge learning read tool leverages AI-based optical character recognition to read a variety of text. With minimal training – using as few as five to ten sample images – the tool can be deployed to automate character reading applications.
Integrating AI and rules-based tools in a single vision system, the In-Sight 2800 solves a variety of error-proofing applications. Use the tools individually for simple jobs or chain them together to solve more difficult logic sequences.
Plug in and get results in minutes with the In-Sight 2800 – no programming experience needed. The intuitive EasyBuilder development environment walks users step-by-step through application setup, enabling rapid turnaround from proof of concept to deployment.
Capture high-resolution images of any product in any environment. Multi-color lighting (RGBW) optimizes image formation, maximizing contrast and illumination, regardless of operating conditions.
With field-changeable components, the In-Sight 2800 can be modified to address various application settings and custom requirements. This modularity allows manufacturers to quickly adapt to new parts and keep up with changing demands.