In-Sight 2800, A Robust Vision Inspection System

Photo Credit: Cognex

Cognex Corporation’s In-Sight 2800 uses a combination of deep learning and traditional vision tools to allow users the flexibility of solving a broad range of inspection applications. The system can be trained with a few images to automate processes from pass/fail to classification and sortation work without the need for a PC or programming work.

The product puts the power of a full-featured vision system into an easy-to-use package that can get work done in a matter of minutes. The interface guides users through the application development process step-by-step, which can even help novices get things up and running, quickly.

In-Sight uses a point-and-click interface that simplifies complex application development to ensure operations move quickly. Operators just have to select the tool designed to deliver the highest possible accuracy for their task. Said tools can be used individually or chained together to accomplish more complex logic sequences.

“It has never been easier to apply deep learning to a production line,” said Carl Gerst, Executive Vice President of Products, Platforms and Solutions. “The In-Sight 2800 system can be trained with just a few images to automate everything from simple pass/fail inspections to advanced classification and sorting – no PC or programming is needed.”

This is possible because of ViDi EL Classify. It’s a powerful tool that can be trained to identify and sort defects into different categories to identify parts with variants. It’s a one-stop solution to help operations solve tasks more efficiently.