Image Measuring Apparatus Automatic Light-Dark Condition Determination
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Solution Overview
Problem
Conventional image measuring apparatuses require manual user judgment for setting the 'light-dark change of detection direction' during edge detection, leading to poor workability and efficiency in the teaching operation.
Innovation Solution
An image measuring apparatus that automatically determines the light-dark change condition using Gerber data, allowing for improved edge detection by superimposing detection specification information on a pattern image and utilizing graphic data to determine the detection direction and length, thereby reducing user workload and preventing setting mistakes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user judgment is used for setting the light-dark change condition, then the edge detection can be performed, but the workability and efficiency of the teaching operation are poor
Solution Approach 1:
The system automatically determines the light-dark change condition by itself using Gerber data and detection specification information, eliminating the need for manual user judgment. The condition determiner retrieves closed area information from Gerber data, determines the detection direction relative to the closed area, and automatically sets the light-dark change condition based on whether the detection direction points inside or outside the closed area.
Solution Approach 2:
The Gerber data containing closed area information is prepared in advance before the edge detection process. This preliminary preparation of design data allows the system to automatically determine the light-dark change condition without requiring manual user input during the actual measurement operation, thereby improving workability and reducing teaching time.
2Reliability
If manual setting of light-dark change condition is performed, then edge detection can be conducted, but setting mistakes may occur and reliability is reduced
Solution Approach 1:
The system uses feedback from the Gerber data (closed area information) and the detection specification information to automatically determine the correct light-dark change condition. By comparing the detection direction with the closed area boundaries from the design data, the system reliably determines whether the image changes from light to dark or dark to light, eliminating setting mistakes.
Solution Approach 2:
The Gerber data acts as an intermediary between the design intent and the edge detection process. The closed area information from the Gerber data serves as a reference that mediates the automatic determination of the light-dark change condition, ensuring that the setting matches the original design specifications without manual intervention.
3Productivity
If automatic determination of light-dark change condition is implemented, then workability and efficiency are improved, but the system requires access to Gerber data and detection specification information
Solution Approach 1:
The system leverages the existing Gerber data, which is universally used in PCB manufacturing for defining pattern geometries. By utilizing the closed area information already present in the Gerber data for multiple purposes (pattern definition and light-dark change condition determination), the system achieves automatic determination without requiring additional specialized data inputs.
Data Source
AI summary
A data memory storing Gerber data containing closed area information of a work; a display displaying a pattern image based on the closed area information of the Gerber data; a detection specification information display program displaying on the display a detection tool specifying a location of edge to be detected, a detection direction and detection length, by superimposing on the pattern image; an image capturing program and an image capturer capturing an image of an area corresponding to the detection tool of the work; an edge detection program performing an edge detection of the location of the edge to be detected with respect to data of a captured image; and a condition determination program determining a light-dark change condition indicating whether an image is changing from a light section to a dark section or from a dark section to a light section along a detection direction.