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Matrox Design Assistant X

By: Matrox Imaging

Deep learning for image classification The classification tool leverages deep learning—specifically, convolutional neural network (CNN) technology—to categorize images of highly textured, naturally varying, and acceptably deformed goods. All inference is performed on a mainstream CPU, eliminating the dependence on third-party neural network libraries and the need for specialized GPU hardware. Matrox Imaging handles the intricate design and training of the neural network, utilizing the deep technical experience, knowledge, and skill of its machine learning and machine vision experts.

Photometric stereo for emphasizing surface irregularities A new registration tool features photometric stereo technology, which creates a composite image from a series of images taken with light coming in from different directions. Creation of these images utilizes directional illumination light controllers, such as the Light Sequence Switch (LSS) from CCS, LED Light Manager (LLM) from Smart Vision Lights, or others similar. This composite image emphasizes surface irregularities, such as embossed or engraved features, scratches, or indentations.

Third-party 3D sensor interfacing Matrox Design Assistant X makes it possible to capture and process depth-map data by interfacing with third-party 3D sensors. Initially, the software will support LMI Gocator® line profilers and snapshot sensors and Photoneo® PhoXi® scanners, with other scanner options to be added in the future.

Other updates and additions include multiple run-times for running multiple independent projects simultaneously on the same platform; dedicated shape-finding tools for locating circles, ellipses, rectangles, and line segments; and addition of a code-grading step.

Field-proven Matrox Design Assistant X software is a perfect match for the Matrox 4Sight EV6 vision controller or the Matrox Iris GTR smart camera.

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