Piston rod is a common mechanical component, widely used in hydraulic system, automotive engine, construction machinery and other fields. It plays a role in connecting and transmitting power and has an important function. However, due to the different shapes and attitudes of the piston rod, it is easy to make errors when mechanical grasping, resulting in a decrease in product quality or production efficiency. Traditional machine vision systems have some difficulties in recognizing and grasping such complex shapes, which brings certain challenges to robot operation, and it is necessary to find a more accurate grasping solution.

Based on a large number of customer needs and project practice, Fuwei intelligent has accumulated a wealth of technology, solutions and application experience in the positive and negative grabbing of shaft and rod workpieces and loading and unloading scenarios. Through AI+3D technology to achieve positive and negative grasp of piston rod, point cloud identification effect is good, to help customers improve production efficiency and quality, to achieve flexible production.

3D visual guide piston rod positive and negative grasp

Project difficulties:

There are two main difficulties in the positive and negative grasping of piston rod: shape complexity and attitude uncertainty. The piston rod usually has complex shape such as curve and abnormity, so it is difficult to extract the characteristic information accurately by traditional image processing method. Moreover, because the piston rod may be in various rotation, tilt and deformation positions during the production process, the traditional positioning method can not meet the demand.

Solution:

The use of robots and 3D vision systems can guide the robot to accurately grasp the shaft parts in the material and place them in the designated position to complete the loading operation, which can not only improve production efficiency but also reduce the burden of workers.

Program advantage

1, high precision: The use of large field of view camera, can be high-precision 3D micro identification of large shaft.

2, strong stability: through the use of self-developed vision algorithm analysis model, it can effectively deal with the problem of small identifiable area of large workpieces and scarce point clouds.

3, high adaptability: through the trajectory planning algorithm and anti-collision processing, it can adapt to the disorderly grasping needs of various medium and large parts, positioning and placement posture, and guide the accurate cutting without collision.

4, improve production efficiency: automatic loading and unloading in the workshop assembly line operation area, instead of manual labor, can reduce labor costs, improve enterprise production efficiency.

The emergence of 3D visual guide piston rod positive and negative grasping technology provides a new solution to solve the problem that the traditional grasping method is difficult to accurately judge the positive and negative direction of the piston rod. This technology offers a high degree of accuracy, adaptability and automation, opening up entirely new possibilities for robotic operation. In the future, with the continuous development of technology and the expansion of application scenarios, 3D visual guidance technology will play a greater role in the field of industrial automation.