The evaluation algorithm component is a powerful software module that combines 3D data and AI results to perform precise analyses and measurements. It enables the automated evaluation of complex data and provides detailed information for various applications.
The evaluation algorithm component represents a key technology for the automated and precise analysis of 3D data in conjunction with results from advanced AI models. At a time when the requirements for accuracy and efficiency in manufacturing and quality control are constantly increasing, this component offers an innovative solution to automate complex evaluation processes and utilize the full power of 3D and AI data.
This component makes it possible to precisely determine measuring points based on AI detections and 3D topologies, perform automatic measurements in 3D point clouds, compare measurement results with specifications and adapt ideal geometric shapes to measurement data. Thanks to its flexible adaptability to customer-specific requirements and the ability to merge 3D point clouds and recognize orientation points within components, this component sets new standards in 3D analysis.
The seamless integration of results from multi-view AI models, the efficient further processing of 3D data as well as the user-friendly presentation of results via a graphical user interface (UI) and the easy integration into existing process chains via an API make this component an indispensable tool for companies that want to optimize their evaluation processes and improve their product quality.
The evaluation algorithm component represents a key technology for the automated and precise analysis of 3D data in conjunction with results from advanced AI models. At a time when the requirements for accuracy and efficiency in manufacturing and quality control are constantly increasing, this component offers an innovative solution to automate complex evaluation processes and utilize the full power of 3D and AI data.
This component makes it possible to precisely determine measuring points based on AI detections and 3D topologies, perform automatic measurements in 3D point clouds, compare measurement results with specifications and adapt ideal geometric shapes to measurement data. Thanks to its flexible adaptability to customer-specific requirements and the ability to merge 3D point clouds and recognize orientation points within components, this component sets new standards in 3D analysis.
The seamless integration of results from multi-view AI models, the efficient further processing of 3D data as well as the user-friendly presentation of results via a graphical user interface (UI) and the easy integration into existing process chains via an API make this component an indispensable tool for companies that want to optimize their evaluation processes and improve their product quality.
