The SICK PLB 520 comprises twin 1.3Mpixel resolution cameras, with central high power blue LED illumination for good rendition of a wide range of object finishes and allows specification of lens focal lengths to meet the application requirements for optimal image resolution.
The simple PLB 520 teach-in procedure uses uploaded CAD models of parts, together with a number of identified gripper positions, to enable the algorithm to locate the part in any orientation and select the most appropriate gripper position to pick up the part.
With installed software and an SD card, both systems have an easy-to-use interface which is compatible with webserver, Ethernet TCP/IP robot- and PLC interfaces, allowing site or remote configuration. Common communications platforms such as SICK’s 4DPro which incorporates standard protocols, facilitate easy integration of different devices and real time communication with a factory network.
“These solutions are the first for SICK, using its new AppSpace software development platform, to deliver easy to use vision guided part localisation for robotics. They open up new applications for robotics so production engineers and machine designers alike can use cobots flexibly for different uses across a production facility, and even test out different automated processes. This sort of robotics is often not a high-speed substitute for manual picking but replaces a human’s repetitive and mundane task with a safer, high consistency alternative.”
