Vision Guided Robot Solution Combines 3D-Vision with Machine Learning

Manufacturers around the world are gearing up to adopt Industry 4.0. Robotics connected remotely to computer systems equipped with machine learning algorithms, such as Solomon′s suite of AI-based machine vision solutions, can increase productivity by enhancing the monitoring of advanced manufacture processes.

Solmotion is a system that automatically recognizes the product’s location and makes corrections to the robot path accordingly. The system reduces the need for fixtures and precise positioning in the manufacturing process, and can quickly identify the product’s features and changes. This helps the robot to react to any variations in the environment just as if it had eyes and a brain. The use of AI allows robots to break through the limitations of the past, providing users with high flexibility, even when dealing with previously unknown objects.

Solomon’s AI technology combines 2D and 3D vision algorithms, alternating them in different contexts. Through the use of neural networks, the robot is trained not only to see (Vision) but also to think (AI), and move (Control). In addition to providing a diverse and flexible vision system, Solmotion supports more than twenty robot brands. This greatly reduces the time and cost of integrating or switching different robots, giving customers the ability to rapidly automate their production lines or quickly move them to a different location providing system integrators and end-users with a full range of smart vision tools.

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

AI Deep Learning Tool

Neural networks can be used to train the AI to learn to identify object features/defects on the surface. Comparing it to traditional ‘rule-base’ AOI, AI inspection application scenarios are wider, smarter, and do not require experienced technician knowledge. Together with the Solmotion vision guided robot technology, a camera mount at robot can perform like human eyes and inspect each detail on the surface of objects.

3D Vision Positioning System

The objects can be placed randomly without the need for precision fixtures or a positioning mechanism. Through the use of visual recognition of partial features, AI can locate the position of the parts in space, generating their displacement and rotation coordinates in real-time, which are then fed back to the robot for direct processing. Also, to achieve flexible production, the system uses a path-loading
function based on an object feature recognition function. The software can also generate the robot path through off-line programming, making it a suitable solution for Hi-Mix or Low-Volume, mixed production scenarios.

3D Matching Defect Inspection

3D Matching Defect Inspection

The software will perform a comparison between the generated 3D point cloud data of the object and the standard CAD in real-time, generating a report according to the pre-set difference threshold. The report will contain the differences in height, width, and volume
data. This data can also be used to automatically generate the robot path. This solution is suitable for object matching and deformation compensation applications.

Robotic Path Planning Auto-Generation

There is no need to manually set the robot path, Solomon’s AI will learn the edge and automatically generate the path planning. The processing angle can be adjusted to ‘vertical’ or ‘specifed’ according to the situation. The surface-filling path generating and corner path optimization functions are also available.

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