Image Analysis Module for Automatic Probe Positioning
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Solution Overview
Problem
Current measurement systems for complex electronic circuits require manual reconfiguration and high user expertise to adapt operating parameters for different test points, making the measurement process inefficient and time-consuming.
Innovation Solution
A measurement system with an image analysis module and probe unit equipped with an image sensor, which captures and analyzes images to automatically identify test positions and adapt measurement parameters, assisting users through automatic operation and displaying relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual reconfiguration is used to adapt operating parameters for different test points, then the measurement system can be operated with simple hardware, but the user expertise requirement increases and measurement time increases
Solution Approach 1:
The measurement system automatically identifies test points using image sensors and cameras, and self-configures operating parameters without requiring manual user input. The system serves itself by capturing images of the device under test, analyzing the images to locate test points, and automatically adapting measurement parameters based on the identified test point characteristics.
Solution Approach 2:
The patent replaces manual mechanical operation (user physically adjusting parameters and positioning probes) with an automated optical system. Image sensors and cameras capture visual information, and software algorithms automatically process this data to determine test point locations and configure measurement parameters, substituting human manual operations with automated vision-based control.
2Device complexity
If manual reconfiguration is used to adapt operating parameters for different test points, then the hardware structure remains simple, but the user expertise requirement increases
Solution Approach 1:
The measurement system automatically identifies test points using image sensors and cameras, and self-configures operating parameters without requiring manual user input. The system serves itself by capturing images of the device under test, analyzing the images to locate test points, and automatically adapting measurement parameters based on the identified test point characteristics.
Solution Approach 2:
The patent introduces an image analysis module as an intermediary between the user and the measurement process. This module captures images, automatically identifies test points, and translates visual information into configuration parameters, eliminating the need for users to directly understand complex test point characteristics and manually adjust settings.
3Loss of time
If automatic image analysis is implemented to identify test positions, then measurement time is reduced, but device complexity increases
Solution Approach 1:
The measurement system employs a multi-functional integrated approach where image sensors serve both as positioning tools and as sources of characteristic data for parameter configuration. The same image analysis module that locates test points also extracts features (such as contactless vs. contact-based indicators) that directly inform parameter selection, eliminating the need for separate identification and configuration systems.
Solution Approach 2:
The patent introduces an image analysis module as an intermediary between the user and the measurement process. This module captures images, automatically identifies test points, and translates visual information into configuration parameters, eliminating the need for users to directly understand complex test point characteristics and manually adjust settings.
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
The system significantly reduces user expertise requirements and measurement time by automatically identifying contact points and adapting parameters, enhancing measurement efficiency and accuracy.
Implementation Method 1
The probe unit comprises at least one image sensor, wherein the at least one image sensor is connected to the image analysis module in a signal transmitting manner. The image sensor is configured to capture an image of a measurement area
Data Source
AI summary
A measurement system is described. The measurement system comprises a measurement device and a probe unit, wherein the measurement device comprises an image analysis circuit or module. The probe unit comprises at least one image sensor, wherein the at least one image sensor is connected to the image analysis module in a signal transmitting manner. The image sensor is configured to capture an image of a measurement area being associated with a device under test. The image analysis module is configured to analyze the image captured and to determine at least one characteristic quantity of the image captured via an image analysis technique. The image analysis module is further configured to gather an information concerning a test position of the probe unit from the at least one characteristic quantity. Further, a method for operating a measurement system is described.