Machining Tool Vision-Sensor Integration for Machining Accuracy
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Solution Overview
Problem
Existing machining processes are prone to human errors, necessitating the integration of mechanical and/or automatic quality control systems to prevent and correct such errors.
Innovation Solution
A device and method utilizing an image-capturing device and sensors on a machining tool, combined with a computing model trained through machine learning, to dynamically identify and verify working areas, correct tool positions, and ensure accurate machining by analyzing images and sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If human operators perform machining operations, then ease of operation is maintained, but manufacturing precision deteriorates due to human errors
Solution Approach 1:
The patent replaces manual visual inspection and positioning with automated optical sensing systems and machine learning algorithms. The image-capturing device and sensors automatically detect working areas and verify machining accuracy, substituting human cognitive and manual control functions with automated systems that eliminate human error while maintaining operational simplicity.
Solution Approach 2:
The machining system performs self-verification through integrated sensors and image capture devices that automatically monitor and validate machining operations. The system self-corrects by providing real-time feedback to operators or automatically adjusting parameters, enabling the system to maintain high precision without requiring complex external quality control mechanisms.
2Manufacturing precision
If quality control systems are integrated to reduce human error, then manufacturing precision improves, but device complexity increases
Solution Approach 1:
The patent combines multiple quality control functions (image capture, sensor data acquisition, working area identification, and machining verification) into an integrated system mounted on the machining tool itself. This consolidation reduces device complexity by eliminating separate external quality control equipment while maintaining high manufacturing precision through coordinated multi-functional operation.
Solution Approach 2:
The machining tool is equipped with multi-functional capabilities including machining operations, image capture, sensor measurement, and automated verification. This universal tool design eliminates the need for separate dedicated quality control devices, reducing overall system complexity while ensuring high machining accuracy through integrated real-time monitoring.
3Manufacturing precision
If real-time image and sensor data analysis is performed to verify machining, then manufacturing precision improves, but use of energy increases
Solution Approach 1:
The system performs rapid real-time analysis of image and sensor data during machining operations, processing information quickly to provide immediate verification without significant energy consumption. The fast processing enables continuous quality monitoring while minimizing the energy cost associated with data analysis, maintaining manufacturing precision without excessive energy use.
Data Source
AI summary
Provided is a device having a machining tool for machining at least one working area of an object. An image-capturing device generates at least one image of the at least one working area and at least one sensor generates sensor data during machining of the at least one working area are arranged on the machining tool. The device also has an evaluation unit which has a computing model that has been trained by way of machine learning on the basis of images of working areas and sensor data by way of which the at least one working area and/or a situation during machining of the at least one working area is able to be identified.