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Battery manufacturing quality in the automotive industry is becoming increasingly important with the growing popularity of electric and hybrid-electric vehicles.
When it comes to building cost-effective 3D vision systems, is it better to use a component-based (i.e., camera, laser, lens, brackets, calibration targets) or all-in-one (i.e., smart) approach?
Today’s innovative landscape is introducing sophisticated technologies for vision guided robotics (VGR) at a rapid pace, expanding robot functionality for diverse markets. Next-generation imaging systems, combined with the availability of more compact, highly efficient and less expensive robots, sensors and technologies, are allowing the implementation of robotic solutions for a wider range of applications, especially for small- to mid-size manufacturers.
In addition to its own algorithms, SICK will also be using the HALCON image processing library for vision sensors, 3D cameras, and vision systems in the future.
Up to now, cooperation between the two companies has been limited to 3D cameras but it will now be expanded to include various sensors in the vision sector.