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LMI Technologies 3D Gocator 3210 Review - LMI Gocator

Find more information about LMI Gocator here: https://lmi3d.com/products/gocator-3D-smart-sensors

Find more information about Machine Vision here: http://advanceultravision.com/

How to use Gocator Emulator - LMI Gocator

Try the Online Emulator at https://lmi3d.com/virtual-3D-smart-sensor

The emulator is a fully interactive simulation of Gocator’s interface. Each scenario contains previously recorded data and measurement tools.

This video explains how to use Gocator Emulator. Let’s get started.

0:00 What is Gocator Emulator?
0:44 How to Launch Gocator Emulator
1:27 Interface Overview
2:10 Navigating Scan Data
2:41 Adding Measurement Tools
3:22 Moving through Scan Frames
3:34 Manage Page
3:43 Scan Page
3:52 Model Page
4:14 Output Page
4:31 Dashboard Page
4:37 Try Gocator Emulator

Find more information about LMI Gocator here: https://lmi3d.com/products/gocator-3D-smart-sensors

Find more information about Machine Vision here: http://advanceultravision.com/

MVTec HALCON 20.05 New Features - MVTec Halcon

This video presents the main new features in HALCON 20.05, the new Progress version of MVTec HALCON released on May 20, 2020.

Find more information about Halcon here: https://mvtec.com

Find more information about Machine Vision here: http://advanceultravision.com/

How to use Gocator Emulator - LMI Gocator

Find more information about LMI Gocator here: https://lmi3d.com/products/gocator-3D-smart-sensors

Find more information about Machine Vision here: http://advanceultravision.com/

Image Band Pass Filter - Deediim Sensors

Surface defects can be defined by the change in surface property. For example, surface defects such as dents can be seen as a change in surface inclination, scratch as a change in surface roughness while stain can be seen as a change in surface reflective.

But until now, conventional lighting products have been used to detect surface defects only by utilizing brightness values, which has caused poor and unstable results. Furthermore, if a surface had changes in reflective and geometry, this usually resulted in crucial information loss.

To overcome these obstacles, we have developed a lighting system that directly measures 3 surface properties (inclination, roughness and reflective) by combining multiple images and outputting it as processed images.

These high-quality images can be used to detect complex defects regardless of sample & lighting conditions. In addition, classifying defects can also be achieved by a combination of the processed images. These high-quality images can especially be a good fit when combined with deep learning (AI) solutions.