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Manufacturers all over the world are preparing to adopt Industry 4.0. The robot is remotely connected to a computer system equipped with machine learning algorithms, such as Solomon's artificial intelligence-based machine vision solution suite, which can increase productivity by enhancing the monitoring of advanced manufacturing processes.
Solmotion is a system that automatically recognizes the product location and corrects the robot path accordingly. The system reduces the need for fixtures and precise positioning during the manufacturing process, and can quickly identify product features and changes. This helps the robot to react to any changes in the environment, as if it had eyes and a brain. The use of artificial intelligence allows robots to break through the limitations of the past and provide users with a high degree of flexibility, even when dealing with previously unknown objects.
Solomon's AI technology combines 2D and 3D vision algorithms, using them interchangeably in different contexts. By using neural networks, the training robot can not only see (vision), but also think (artificial intelligence) and move (control). In addition to providing diversified and flexible vision systems, Solmotion also supports more than twenty robot brands. This greatly reduces the time and cost of integrating or switching between different robots, enabling customers to quickly automate their production lines or quickly move them to different locations, providing system integrators and end users with a full range of intelligent vision tools.
Through a modular and intelligent architecture, Solmotion can quickly identify product changes and make real-time path adjustments without any modification to the production line, thereby making the manufacturing process more flexible and improving the production environment to become a smart production factory.
Neural networks can be used to train AI to recognize features/defects on the surface of objects. Compared with the traditional "rule library" AOI, AI detection application scenarios are broader and smarter, and do not require the knowledge of experienced technicians. Combined with Solmotion vision guided robot technology, the camera mounted on the robot can work like a human eye and inspect every detail on the surface of the object.
Objects can be placed at will, no need for precision fixtures or positioning mechanisms. Through the visual recognition of local features, AI can locate the position of the part in space, generate displacement and rotation coordinates in real time, and feed it back to the robot for direct processing. In addition, in order to achieve flexible production, the system uses a path loading function based on object feature recognition. The software can also generate robot paths through offline programming, making it a suitable solution for Hi-Mix or small batch, mixed production scenarios.
The software will compare the generated 3D point cloud data of the object with standard CAD in real time, and generate a report according to the preset difference threshold. The report will contain differences in height, width, and volume data. This data can also be used to automatically generate robot paths. This solution is suitable for object matching and deformation compensation applications.
There is no need to manually set the robot path, Solomon's AI will learn the edge and automatically generate a path plan. The processing angle can be adjusted to "vertical" or "designated" according to the situation. It also provides surface filling path generation and corner path optimization functions.
More information: www.solomon-3d.com