Matrox Imaging announces Matrox Design Assistant X, the latest edition of its flowchart-based vision application software. This integrated development environment (IDE) lets developers build intuitive flowcharts instead of writing traditional program code, and also enables the development of a graphical web-based operator interface for modifying the vision application.
This update integrates a host of new features and functionality, including image classification using deep learning, a photometric stereo tool that highlight surface imperfections, and the ability to interface directly with third-party 3D sensors.
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.
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.
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.
Matrox Design Assistant X will be officially released in Q2 2019.