Manufacturers all across the globe are preparing to implement Industry 4.0. Robotics linked remotely to computer networks using machine learning algorithms, like Solomon′s array of AI-based robot vision solutions, can boost efficiency by improving the monitoring of complex manufacturing processes.

Solmotion is a technology that automatically identifies the position of the product and adjusts the robotic path accordingly. The method eliminates the necessity for fixtures and accurate placement throughout the production process, as well as the ability to detect the product's characteristics and alterations instantly. This allows the machine to react to changes in the environment in the same way that it would if it had a brain and eyes. The application of AI enables robots to overcome prior restrictions, providing users with considerable versatility even when working with previously unknown items.

Solomon's AI technology mixes 2D and 3D visual algorithms, shifting between them in various scenarios. The machine is programmed not only to view (Vision) but also to reason (AI) and operate (Control). Solmotion serves over twenty robot manufacturers on top of providing a broad and versatile vision system. This significantly decreases the time and expense of integrating or switching various robots, allowing clients to automate their manufacturing lines fast or quickly relocate them to a remote location while also offering system developers and end-users a comprehensive range of savvy vision capabilities.

Solmotion can easily identify product alterations and make path modifications in real-time, irrespective of any changes made to the manufacturing line, resulting in a more flexible production process while improving the manufacturing environment to become a smart production factory, thanks to an intelligent and modular architecture.

Deep Learning AI Tool

Neural networks may be used to train AI to recognize the surface functionality of objects. When compared to traditional 'rule-based' AOI, artificial intelligence inspection application cases are smarter, broader, and do not need the expertise of professional technicians. A camera mount on a robot may perform like human eyes and check each detail on the surface of things when combined with the 3D vision robot technology.

3D Vision Placement System

Objects can be randomly put without the use of precise fixtures or a placing system. AI can determine the position of the components in space by using visual identification of partial features, creating their rotation and displacement coordinates in real-time, which is then supplied back to the machine for direct processing. In addition, to achieve flexibility in manufacturing, the system employs path-loading, an algorithm based on item feature recognition. The program can also produce the robot route through offline programming, making it a good fit for Low-Volume or Hi-Mix, mixed production scenarios.

Inspection of 3D Matching Defects

In real-time, the program will compare the produced 3D point cloud data of the item to the conventional CAD, providing a report based on the pre-set differential threshold. The analysis will include the height, breadth, and volume data. This information may also be utilized to construct the robot path autonomously. This method is appropriate for applications such as item matching and deformation correction.

Auto-Generation of Robotic Path Planning

There isn't any need to manually configure the robot path; Solomon's AI will automatically learn the edge and produce the path planning. Depending on the scenario, the processing tilt can be set to 'vertical' or 'specified.' There are other routines for producing surface-filling paths and optimizing corner paths.