The In-Sight D900 deciphers badly deformed, skewed, and poorly etched codes using optical character recognition (OCR). The In-Sight ViDi Read tool works right out of the box, dramatically reducing development time, thanks to the deep learning pretrained font library. Simply define the region of interest and set the character size. In situations where new characters are introduced, without vision expertise, this robust tool can be retrained to read application-specific codes that traditional OCR tools are not able to decode.

The In-Sight D900 uses artificial intelligence to reliably detect complex features and objects and verifies parts and kits are assembled correctly based on their location within a pre-defined layout. The In-Sight ViDi Check tool can be trained to create an extensive library of components, which can be located in the image even if they appear at different angles or vary in size.

The In-Sight ViDi Detect Tool learns from images of good parts in order to identify defective parts. ViDi Detect is ideal for finding anomalies on complex parts and surfaces, even in situations where defects can be unpredictable in their appearance.

In-Sight ViDi takes advantage of the intuitive In-Sight spreadsheet interface to quickly set up and run deep learning applications without programming. The In-Sight spreadsheet simplifies application development and streamlines factory integration with a full I/O and communications function set. It also enables the ability to combine traditional rules-based vision tools (like PatMax Redline) and deep learning tools in the same project, leading to quicker deployments and faster cycle times. Since In-Sight ViDi requires vastly smaller image sets and shorter training and validation periods, deep learning applications are quick and easy to set up, teach, and deploy.