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Cognex In-Sight 2800 Deep Learning

The power of deep learning without the complexity

The In-Sight 2800 vision system combines deep learning technology with traditional rule-based vision tools to solve a wide range of inspection applications. From simple presence/absence detection to complex categorization and sorting problems, In-Sight 2800 provides an easy to deploy solution for error-proofing tasks.

Increase of product quality

Catch small, subtle defects with highly accurate, deep learning-based error detection capable of solving  OK/NG applications and classifying parts with variation based on multiple defect types or user-defined features.

Streamline integration

Modular solutions for integrated lights and lenses takes the guesswork out of image optimization. Identifying the correct combination of accessories for your applicatin is only a few button clicks away.

Maximize operational efficiency

Leverage your existing workforce and keep your lines running with fast, intuitive job setup—no vision or deep learning expertise required.

Fig. right:

Set up multiple regions of interest (ROIs) to inspect different sections of your image with a single trigger.

Rule-based vision tools

In-Sight 2800 is also equipped with an extensive library of industry-proven traditional vision tools and algorithms including: Measure Distance, Pixel Count, Count Patterns, Math and Logic Tools, and much more.

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    Tel. +49.711.23853.0
    E-Mail: info@ait.de