INDUSTRY UPDATE
Speak the same language as robots
software package, the VISOR® Robotic can communicate directly with Universal Robot (UR) systems. This simplifies the configuration of automation tasks. Robots are assisting human colleagues in more and
S
more production tasks. To be able to respond to changing situations, such as varying part shapes, with similar flexibility, robots require reliable information on the environment, and in a format that they understand. The VISOR® Robotic from SensoPart converts data and supplies all information in robot coordinates for immediate use by the robot systems. This is achieved through one-time calibration using the calibration plates available as accessories, or with the aid of a point-pair list. The task is also facilitated by additional functions, such as Z offset correction, gripper point adjustment and a check of available space around the gripper arm. Complex programming in the robot control system is no longer necessary.
SensoPart UK Ltd 01664 561539
www.sensopart.com
ensoPart has added a robotics specialist to its VISOR® series of vision sensors. Thanks to a URCap
Efficient material handling is key T
he material handling and packaging industries depend upon the quick and efficient transportation of materials. Automated robotic handling systems, incorporating
roller conveyors, are providing efficient and scalable solutions as businesses embrace process optimisation as a means to better manage distribution challenges and consumer demand and are being widely deployed within manufacturing facilities, warehouses, and distribution hubs. Pallet conveyor systems carry goods throughout the
warehouse & supply chain phase whilst industrial robots manage tasks such as picking, packing, palletising and stacking, further enhancing operational capabilities. The logistics and supply chain is a fast moving market
and efficient material handling is integral to operational success. But some of the tasks applicable to the processes involved are non-ergonomic and can present a risk factor. Consider complicated actions or procedures that might prove difficult for humans. Absolute positioning accuracy is therefore a key
consideration when implementing automated robotics within a conveying system; a robots ability to achieve
repetition of the same task over and over again. Path, position and orientation (consider the robot model to be used) are also fundamental considerations when implementing an automated conveying system. Though we must also factor into the equation the suitability of the conveying system aligned with the robots capabilities. A rework of the entire workflow might be necessary to
ensure that the system can be optimised for maximum product throughput and efficiency. KUKA strategic system partner and materials handling
market leader SCM Handling Ltd. can provide your business with a competitive edge, through bespoke material handling solutions designed and engineered for maximum return. As an integrator specialist, SCM’s expertise lies in understanding your material handling requirements.
KUKA 0121 505 9970
sales@kuka-robotics.co.uk
A Sting in the Tail! T
he 3D Stinger camera from Scorpion Vision provides high quality 3D imaging systems to production lines
across a wide range of UK manufacturing sectors. Thanks to the advanced technology developed by
Tordivel of Oslo, Scorpion Vision's 3D Stinger camera enables production-line robots to see with precise vision, distinguishing the exact height, depth and sizes of products on a manufacturing line, and then send information to the robot to adjust where the picking arm goes accordingly. Stinger processes images in real-time as the camera is
not required to scan whole areas at a time in order to detect products moving along the production line. The total cycle time is therefore only dictated by how fast the robot can pick. Additionally, the system's real-time capabilities mean that the camera is able to detect if something moves into the field of view and send new
picking co-ordinates to the robot, avoiding any unexpected malfunctions due to foreign items in the robot's path. The system is extremely versatile as the internal scripting and interface modules of the 3D Stinger mean that Scorpion Vision Software can be interfaced to any robot type, such as ABB, Staubli, Kuka, Mitsubishi and Bosch, ideal for applications across a variety of manufacturing sectors including food, automotive and heavy industry.
Flexible 3D Solution The Scorpion 3D Stinger product portfolio consists of 3D cameras most commonly in a stereoscopic configuration. There is no single solution for 3D machine vision applications and so the Scorpion 3D Stinger cameras are available with flexible options so that the most appropriate solution for a specific application can be created.
As a framework machine vision automation package that runs on Microsoft Windows, Scorpion Vision Software is an open platform with a point and click user interface. The software contains a very comprehensive suite of machine vision tools which include all standard machine vision tasks as well as more advanced tool-sets for creating 3D machine vision applications. Scorpion Vision Software has a number of key
strengths which make it a leading machine vision technology. From a machine vision engineer's perspective it is considered to be a very flexible package that enables even the most complex image processing tasks.
Scorpion Vision 01590 679333
www.scorpionvision.co.uk
18 October 2018 | Robotics & Motion Control Supplement
automationmagazine.co.uk
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90
