AGRICULTURE
Serving the unique requirements of vision metrology, PC-DMIS Vision is enhanced with a range of capabilities to maximise vision CMM usability and make inspection simple and productive.
PC-DMIS Vision reduces the time spent developing inspection programs with a set of tools crafted to ease the job of developing, debugging and executing vision-based measurement programs to by up to 75% and integrates CAD into the measurement process.
Develop and prove inspection programs off-line while leaving the measurement machine free for inspection. Select geometry and define program parameters by pointing and clicking on a CAD model.
Using the Camera Simulation feature, users can accurately simulate selected measurement options including camera views, lighting and probe selection. It works either on-line or off-line and has the unique capability to reproduce precisely what the camera will see as it measures a part. When simulating program execution, programmers can switch between a CAD view and a virtual camera view, which changes in step with the inspection program.
PC-DMIS Vision is fully automation ready and can be easily extended to integrate with a larger automation solution or connected with any statistical process control (SPC) software to maximise the efficiency and reduce waste.
Offering versatile multisensor CMMs, the OPTIV range is ideal for measuring smaller as well as larger workpieces – both in the quality room and in the production area. Capable of measuring with a complete range of tactile and non-contact sensors, OPTIV CMMs can tackle a wide range of measuring tasks. The design of these granite-based coordinate measuring machines, with precision mechanical linear guides on all axes, allows for high-accuracy measurements through consistent positioning accuracy.
HxGN Visual Detection is an automated surface inspection application capable of detecting defects such as scratches, cracks and dirt, on materials like glass, metal,...
Explore how HxGN Visual Detection leverages advanced machine learning to recognise surface defects based on training imagery.