Optical Detection for Processing Machine Setup
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Solution Overview
Problem
Existing processing machines for wooden workpieces are complex and error-prone due to cumbersome and simple set-up aids, leading to incorrect unit selection and potential damage or unusable workpieces.
Innovation Solution
A method using a portable computer with a detection device, such as a camera or barcode reader, to optically detect and identify machine sub-elements, allowing for efficient and safe manipulation of processing machine units by comparing captured images or codes with reference signals, and providing a user interface to confirm and control adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional set-up aids are used for individual setting of machine units, then basic setting capability is provided, but the system becomes cumbersome and error-prone due to difficult operation and incorrect unit selection
Solution Approach 1:
The patent replaces manual mechanical selection and setting operations with an optical detection system. A camera captures images of the machine setup, and image recognition software automatically identifies machine units and their current settings, eliminating the need for manual selection and reducing human error.
Solution Approach 2:
The system creates a digital copy of the physical machine setup through optical imaging. The camera captures visual information about the machine units, and this visual data is processed to create a digital representation that can be automatically analyzed and used for setting adjustments without physical interaction.
2Device complexity
If simple set-up aids are used, then device complexity is reduced, but measurement and detection precision deteriorates leading to incorrect entries and settings
Solution Approach 1:
The patent replaces simple mechanical set-up aids with an optical detection and image recognition system. Instead of using complex mechanical interfaces, the system uses a camera to capture images and software to automatically identify and measure machine unit parameters with high precision.
Solution Approach 2:
The patent introduces an intermediary layer between the simple camera and the complex machine settings. Image recognition software and processing algorithms act as intermediaries that translate visual information into precise measurements and identification data, bridging the gap between simple detection and precise control.
3Adaptability or versatility
If individual units are manually adjusted, then flexibility in optimizing work results is achieved, but time consumption and productivity are reduced due to complex setup procedures
Solution Approach 1:
The system performs preliminary actions by automatically capturing images of the machine setup and pre-identifying machine units before any adjustments are made. This preliminary visual documentation and automatic identification prepares the system for rapid adjustments without requiring time-consuming manual inspection and selection.
Solution Approach 2:
The patent replaces manual mechanical adjustment procedures with automated optical detection and software-based control. The system automatically identifies machine units, determines their current settings, and enables rapid adjustment through digital interfaces, significantly reducing setup time while maintaining full adjustability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables easy and error-resistant manipulation of processing machine units, reducing the risk of incorrect settings and saving development costs by utilizing conventional portable devices, thus improving the efficiency and safety of the processing machine operation.
Implementation Method 1
an operating unit provided with a detection device, in particular with a camera, is used. In a first step of the method according to the invention, a sub-element of the machine tool to be manipulated, in particular the external shape of the sub-element, is optically detected
Data Source
Figure 1~2
AI summary
The method involves using an operation unit (12) provided with a camera for manipulating outer shapes of sub-elements (16, 18, 20) of a processing machine (10). A reference element is optically detected and compared with the manipulated sub-elements, so as to identify the sub-elements. The identified sub-elements are controlled by the operating unit, where the operation unit includes a touch display for displaying the sub-elements identified by a user, and the operation unit is one of a laptop computer, a tablet computer, or a smartphone. Independent claims are also included for the following: (1) a computer program for manipulating a processing machine for machining a workpiece (2) a processing machine.