Machine vision guarantees quality in the automotive industry
However, image processing systems provide even after the production of vehicle parts and complete vehicles throughout their life cycle in numerous other applications for security or comfort.
With a flat illumination system and integrated light controller for automated generation of lighting sequences, the new CVS trevista FLAT allows easy integration of ‘shape from shading’ inspection for machine builders and integrators. It provides topographic surface defect information down to the micron level as well as suppressing brightness fluctuations and gloss effects on reflective materials. The compact design and long working distance can easily accommodate stationary or moving parts and difficult surfaces such as glass rotary plates and cylindrical as well as sheet materials.
Offering 16 or 25 MPixel resolution monochrome or enhanced NIR CMOS sensors, the new Genie Nano-CXP cameras from Teledyne DALSA can deliver 80 fps at 25 Mpixel resolution.
The small form factor, robust build quality and wide operating temperatures are combined with an exceptional feature set at a highly competitive price point. They have been designed to work synergistically with the half-length Xtium-CXP frame grabber to minimise CPU usage and improve processing times.
Machine vision is a well-established technique across a host of industries, improving quality and efficiency in the manufacturing and processing sectors. Its ability to make inspections reliably and at speed 24/7 makes it an invaluable enabling technology in quality control. Technological advances in machine vision continue to be made rapidly, opening up more and more possibilities.
Clear Vision Systems (CVS), manufactured by Kautex Textron CVS Ltd are designed to keep vehicle headlamps or the cameras and sensors used in Advanced Driver Assistance Systems clean from dirt, dust, frost, snow, and pollution. They are manufactured at Kautex plants in the UK, USA, China and the Czech Republic. Specialist water tubing assemblies used in these systems are constructed completely by hand.
The use of small to medium-sized collaborative robots for factory automation applications is growing at a rapid rate. Many of these applications are pick-and-place, so the robots require machine vision to visualize the scene, process information to make control decisions and execute precision-based mechanical movements.
A new approach to manual PCB assembly verification has helped one manufacturer significantly improve the quality of boards it manufactures for use in car audio devices. A self-contained camera system ensures that almost 50 components are correctly assembled before the boards move to the next stage.