How flexible feeding works

The core of the flexible visual material selection is to use the robot 3D visual positioning system, based on the principle of triangulation, to obtain the point data of the workpiece through the rapid scanning of the stereo camera, to carry out 3D modeling of the point data, and to intelligently carry out the modeling features. Analysis to determine the current posture position of the workpiece, and send the coordinates of the workpiece in front of the light to the robot through the data interface, so that the robot has the same visual ability as a human, so that it can realize the sorting and grasping of the target in the production line, reducing the Production error rate, reduce the cost of industrial production, and solve the problem of grasping disordered workpieces.

In the automatic production of small special-shaped parts, it is necessary to divide the small special-shaped parts one by one and send them to the CNC for processing, and then send the small special-shaped parts processed in the CNC into the feeding track. In the prior art, the material distribution, loading and feeding of small special-shaped parts are done manually. The manual method is not only labor-intensive, but also leads to low production and processing efficiency.

The flexible visual material selection can overcome the above shortcomings, automatically complete the automatic arrangement and feeding of special-shaped parts, reduce the labor burden of workers, improve work efficiency, and meet the current intelligent requirements and the positioning problem of using one tooling for multiple varieties. The 3D visual recognition system can solve the problem of flexible chemical equipment, replace the traditional fixtures, and provide automated, intelligent and unmanned feeding and picking for traditional manufacturing industries (such as labor-intensive production lines, machinery, casting and other fields). , sorting and other application solutions.