Photoneo's 3D vision-oriented robotic pick-up system from Slovak Machine Vision startups upgrades the material handling process for production facilities for hydraulic component manufacturers. Photoneo's solution includes a PhoXi 3D Scanner XL scanner and an ABB robot with associated vision and robot controllers to pick up small parts in a large storage bin. It has been reported that random robot picking applications are very challenging because the parts that are designated for picking are usually loosened and stacked on top of one another in the box. The customer wants the robot to pick up 99% of the parts from nearly 10,000 parts in the box. Each part is only 5 cm high and 4 cm in diameter. The area ratio of the part size to the box size is about 1:900. After picking, the part must be placed in the correct orientation to complete the scan, part positioning, robot path planning and movement within 7 seconds. Because these parts are shiny, they often cause mutual reflection, so problems can occur when scanning. Photoneo knows that these challenges are not easy to solve, but Photoneo's 3D scanner series uses structured patterns to reduce the diffuse reflections that often occur in corners. By modulating the frequency of pattern projections, 3D scanners can detect and filter reflections. And the stain on the surface of the 3D model. Most 3D scanning devices are used to scan small objects, mainly due to depth of field limitations, so 3D scanning devices are not suitable for use on European pallets or larger objects. Scanning larger objects usually requires a stronger source or a longer exposure time to get a reasonable point cloud quality. Adrian Kratky, director of robotic vision at Photoneo, said that because of the low density of the point cloud and the high noise, the absolute accuracy is reduced, so the large-capacity storage box picking task is very challenging, when the scanning volume is large and the object with a small proportion needs to be processed. The quality and depth of field of the PhoXi 3D Scanner XL is critical. The PhoXi 3D Scanner XL has a scan volume of up to 2,400x1, 800x2, and 200 mm. The image is captured using a 32,000 pixel sensor with an average acquisition time of approximately 800 milliseconds. Through the part positioning algorithm, a single scanner and robot can achieve a 7-second cycle, asynchronously searching for new objects and other application requirements. In the longer image acquisition process, the system can output point clouds with higher density, lower noise and higher absolute precision, so that the part positioning algorithm can successfully identify objects in a shorter time. Part localization is an important part of every warehouse picking solution, and the accuracy of the part positioning algorithm should be adjusted to balance the required speed and direction. In this application, when the dead robot arm moves to pick up the part, the part positioning algorithm continues to run on the scanned data stored in the space around the part. When the dead robot places the part, the scanner signals the robot controller to proceed to the next path. planning. To avoid picking up parts moving between objects, Photoneo is able to quickly identify position changes and focus only on unmoved parts. Photoneo's pick-up app works with all major industrial robot brands. In the second quarter of 2018, Photoneo expects to launch a new Bin Picking Studio to help end users and system integrators design their own complete container picking solution.
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