Setting up a GigE Vision image acquisition device with HALCON is easy. Just connect the camera and grab images… But…
High-Speed Cytometry Research utilising Phantom Cameras
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Preparing To Train a Deep Learning Classifier in HALCON
The deep learning (DL) functionalities of HALCON 17.12 enable users to train a DL classifier for their specific application without…
Increasing Speed in Deflectometry Set-Ups
Deflectometry is useful for inspecting reflective (specular) surfaces. These surfaces are tricky to inspect with other methods, due to a…
Single Image Calibration for 2D Measurements with HALCON
Fig 1: Calibration and measurement planes with emphasised differences (misalignments and offsets). Many HALCON users are dealing with…
Speeding up Shape Based Matching with ‘Greediness’
The parameter “Greediness” defines a tradeoff between speed and completeness. On the one hand, the search speed can be increased…
Deep Learning with HALCON 17.12 – Training a CNN
Gain ‘Deep Learning’ out of the Box with HALCON 17.12. Users will be able to train their own classifier using…
How to Simplify your HDevelop Debugging Process
Let’s have a look at some helpful tools that are provided to simplify the debugging process in HDevelop. Beside some…
How to get the best from Classification and OCR tools in HALCON
A recommended practice for setting up classification tasks and OCR: Regularly review your growing set of training data with the HDevelop…
How To Use Rejection Classes in MVTec HALCON
In a previous support article we described the use of regularisation during the training of a multilayer perceptron (MLP) to…
HALCON Hand-Eye Calibration with a 3D Sensor
HALCON’s surface-based matching is a powerful, field-proven technique to locate individual objects within point-clouds. Translating the found poses into robot…
Calibrating a Camera with an Arbitrary Calibration Plate Using HALCON
Camera calibration determines the interior and exterior camera parameters based on a sufficiently large number of accurately known three-dimensional world…
Using regularisation in MLP classification with HALCON
When training any classifier, the goal is to train it so that it generalises well for unknown data. However, in…