Camera calibration is a critical task for obtaining accurate real-world measurements in machine vision applications. With it’s 3D calibration operators, HALCON 12 provides an extremely accurate method to calculate the camera parameters as well as the 3D position and orientation of the measurement plane relative to the camera. MVTec have introduced a new, redesigned calibration target that eases the process significantly. The new plate contains more calibration marks providing better radial lens distortion correction with fewer images.

Mvtec Halcon License Plate

It also features multiple unique finder patterns embedded within the hexagonal mark array. Javelin Pos Installation Jobs. Since only one finder pattern needs to be visible in the image for calibration, you can easily cover the entire field of view with calibration marks. For 2D measurement applications, this means you can calibrate your camera with one single image. For a full 3D calibration it is still necessary to acquire several images from different perspectives, but you need far fewer images in order to achieve the same level of accuracy as the old method.

Having multiple unique finder patterns allows images from multiple cameras observing different portions of the same plate to be mapped into the same world coordinate system. This enables you to perform calibrated image stitching without the need for a custom fixture to hold several targets at precisely known distances HALCON 12 continues to support the old calibration target, and as with previous versions of HALCON, it is still possible to print your own plates for testing purposes. Printed targets should not be used for high accuracy applications, however. MVTec offers the new calibration target in several different sizes ranging from 20mm x 15mm up to 320mm x 240mm. For more information on the new calibration targets available with HALCON 12 Posted on March 2, 2015.

HALCON is a comprehensive standard software for machine vision with an integrated, highly interactive development environment (IDE) which allows concurrency thanks to the support of parallel programming. Event-based processing is supported. Debugging tasks are very easy with direct inspection of HALCON variables (tuples and iconic) in Visual Studio.

New features in HALCON 13 • Speedups With HALCON 13, a giant leap in performance for shape-based matching, one of HALCON's core technologies, has been accomplished. But not only that, HALCON 13 also offers significant speedups for all related technologies, i.e., shape-based 3D matching, local and perspective deformable matching, and component-based matching. • Texture inspection Texture inspection can be a challenging task because textures often have very different characteristics like scale or brightness. Thus, setting up a texture inspection system is often tricky. HALCON 13 therefore offers an easy-to-use texture inspection, which is configured by simply passing some training images. The algorithm automatically adjusts the necessary parameters based on training images that show flawless texture.

The trained texture inspection model can then be used to detect potential texture defects. • 3D matching and 3D reconstruction In HALCON 13, surface-based 3D matching has been improved to be more robust when dealing with flat surfaces.

This improvement particularly supports applications like picking of boxes. HALCON 13 also offers a new method to reconstruct 3D objects from multiple cameras with high quality. This new method uses the information of all camera views at once leading to more robust results than provided by common stereo reconstruction methods.

MVTec, HALCON, MERLIC, Software, Solution, Machine Vision Applications, Matching, Blob Analysis, OCR, OCV, Bar Code Reading. Mvtec Halcon License Plate Matlab implementation is available for both UNIX and Windows. Prince / Image Analysis and Communications Laboratory / Johns Hopkins University) GREYCstoration: A fast PDE- based algorithm for image restoration.

Mvtec Halcon License Plate

• Major improvements in identification technologies With HALCON 13, MVTec offers deep-learning-based OCR for the first time: HALCON now contains a new OCR classifier and comes with a number of pre-trained fonts based on deep learning technology. With these, it is possible to achieve higher reading rates than with all previous classification methods. Further, the automatic text reader in HALCON 13 is faster and now also supports reading of dot print characters.

Livezilla 3 3 2 2 Set Up Keyboard. HALCON 13 also reads bar codes even if large parts of the code are either defective or not visible at all. Additionally, the QR code reader has been improved and is now much more robust against common challenges like blur or distortion.