Solmotion robot vision guide system
Solomon Technology Corporation

SOLMOTION is a system that automatically recognizes the position of the object to be worked and allows robots to work accordingly. It is possible to significantly reduce the required level of position accuracy in the manufacturing process, and quickly recognize the position and angle of the object. It can be said that the robot is given eyes and brain. The reaction is quick, and it can respond wisely on unknown objects. Solomon's proprietary AI technology combines 2D and 3D calculation methods to train robots with neural networks. It controls not only to see (vision) and think (AI), but also move (control). With this excellent feature, Solmotion has won the Global Vision System Design Competition gold prize. Solomon's vision system supports more than 20 robot makers and controllers. This allows users to exclude the trouble and cost of switching or integrating robots for new projects. No matter how the production line is changed, Solmotion can be flexible. At the same time, we will help you improve your production environment, achieve zero modules, realize zero -stock smart factory, and provide decisive vision solutions to system integrators and end users. Why Solmotion? ･ Reduce the online operation time of the operator ･ Cost and storage space reduction of fixed jigs ･ Reduced work time for the production line change ･ Reduced cumulative tolerance caused by placement and fixtures Solomon's vision guide robot, which combines 3D vision and machine learning, improves the flexibility and productivity at the manufacturing site. System configuration ● Vision ･ 3D Structure Drite ･ Time of flight (TOF) ･ Active stereo vision ･ Active stereo vision ● Applications ･ Cutting ·Painting ·welding ･ Covering ･ Bali removal ･ Nailing ･ Polishing ･ Dreaming ･ Money processing ·test ･ Adhesive application ･ Edge trimming ● Robot Main four functions ① Application of AI image inspection Combined with AI software for precision image inspection contained in SOLMOTION, you can expand the range of VGR. Compared to conventional automatic optical test (AOI) software, it has a higher ability to respond, has excellent intelligence, and does not require precise inspection lighting. It is possible to respond to the characteristics and goals that are not regular and difficult to define. After the inspection, the location information and I/O data can be connected directly to the robot arm operation. Applied Example: Defective detection of burning paint, mold repair, welding bead detection, metal surface detection, food exterior inspection, etc. (2) Do not require the placement accuracy of the object There is no need to place the processed object in a fixed place with high accuracy every time, so there is no need for fixed jigs. If some of the features for object recognition are within the scan range, you can recognize the position and inclination angle of the entire object. Based on the obtained position data, you can apply a pre -prepared operating route to the object, or generate a new operating route. This feature allows you to establish a highly flexible production process. Demonstrates the ability at the production site of small and multiple types and multiple kinds. Applied example: Processing work with various robot arms, etc. ③ Automatically generate a robot operation route If you use the automatic route generation function, you do not need to teach the robot route in the manual. You can use the AI ​​learning function to recognize the edge of the object and generate the operation route of the robot according to it. It is also possible to change the processing angle in the route according to the situation. In the figure, the route is shown at the point, but the route is smoothly connected to each and the route is completed. It is possible to reduce the teaching time for manuals in the manual. It can flexibly respond to small amounts of varieties, different products, and products with minor changes. Applied example: Cut, sealing, burr removal, coating agent application, etc. ④ Application of 3D shape comparison inspection Based on the 3D point cloud data, the difference between the actual object and the 3D CAD data can be reflected in the shape data on the display. In addition, the dimensions and volume of the part with a difference can be measured, and the work route can be generated automatically when the robot is polished. Applied example: Inspection measurement, polishing, repair, milling, 3D print industry Solomon has been studying AI 3D Vision for a long time and has been selling sales in various industries around the world. It also supports 0.5cm size ultra -small parts and large equipment of several tens of meters. Solomon offers smart manufacturing and logistics solutions that are close to perfect, contributing to cost reductions at manufacturing sites around the world. We are convinced that we can achieve high customer satisfaction in the manufacturing industry in all fields. feature ･ We can support the integrate of CAD / CAM software ･ User -friendly editing function ･ Graphical interface quick editing program logic ･ Project management/backup of robot programs ･ Automatically recognizes objects and generate routes ･ Compatible with major robot manufacturers, PLC ･ Automatic/manually edit point information ･ ROS automatic obstacle avoidance function