The presented paper describes the integration an Artificial Vision System and Artificial Intelligence into a machine tool to find the correct instructions to move chips from an initial state to a goal state. To do so, several technologies such as OCR, graph-search control method and G-Code generation are integrated into one Cyber-Physical Production Systems. The integrated Cyber-Physical Production Systems (CPPS) detects the initial state via a visual system and the user defines the required goal state. Applying the graph-search control method the correct sequence of movements is obtained to find the goal state. Then, the CPPS converts this sequence to G-Code and the machine tool executes by the machine tool. The paper describes the different components and the resumes the results.
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Path Planning Based on an Artificial Vision System and Optical Character Recognition (OCR)
Semantic Scholar · Computer Science · 2019
Abstract
The presented paper describes the integration an Artificial Vision System and Artificial Intelligence into a machine tool to find the correct instructions to move chips from an initial state to a goal state. To do so, several technologies such as OCR, graph-search control method and G-Code generation are integrated into one Cyber-Physical Production Systems. The integrated Cyber-Physical Production Systems (CPPS) detects the initial state via a visual system and the user defines the required goal state. Applying the graph-search control method the correct sequence of movements is obtained to find the goal state. Then, the CPPS converts this sequence to G-Code and the machine tool executes by the machine tool. The paper describes the different components and the resumes the results.