Vision-Verified Measurement Assistance for Tool and Posture Accuracy
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Solution Overview
Problem
Current quality control measurement systems face inaccuracies and difficulties in measuring components beyond 2D dimensions, especially for high-precision small-scale production, and existing software lacks the ability to verify the correct use of measurement tools and hand posture, leading to reduced effectiveness.
Innovation Solution
A measurement assistance system utilizing a deep learning neural network framework with TensorFlow object detection, Hu Moment, and MediaPipe Hand algorithms to identify and verify the correct measurement tool, part, and posture, integrating visual identification to ensure data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual identification system is used for product defect detection and product size detection, then measurement capability is provided, but system cost becomes expensive
Solution Approach 1:
The patent uses image copying and processing instead of expensive physical measurement systems. The camera captures images of measurement tools, parts, and hands, then uses image processing algorithms to extract measurement information, replacing the need for complex optical measurement equipment.
Solution Approach 2:
The patent replaces mechanical measurement systems with an information-based system. Instead of using physical measurement devices for 2D, 3D, and dimensional measurements, the system uses camera images and computational algorithms to perform measurements, substituting mechanical complexity with computational processing.
2Adaptability or versatility
If measurement is performed on components with dimension more than 2D, then comprehensive measurement is achieved, but measurement accuracy decreases and becomes difficult
Solution Approach 1:
The patent transitions from 2D image measurement to 3D spatial understanding by analyzing hand posture images and tool orientation. The system extracts three-dimensional measurement information from two-dimensional camera images through computational geometry and perspective transformation algorithms.
3Productivity
If quality control software directly inputs measurement tool data, then data analysis capability is provided, but data accuracy verification is insufficient
Solution Approach 1:
The patent performs preliminary verification of measurement data accuracy before the actual measurement process. The system identifies and verifies the measurement tool, measured part, and hand posture in advance using image processing, ensuring data accuracy is established before measurement begins rather than verifying after data collection.
Solution Approach 2:
The system provides continuous feedback by comparing captured images against stored reference images of correct tool usage, part positioning, and hand postures. This feedback mechanism verifies measurement accuracy in real-time and prevents erroneous data input into the quality control software.
4Reliability
If measurement tool identification, part identification, and posture identification are performed, then data accuracy is improved, but system complexity increases
Solution Approach 1:
The patent divides the complex verification task into three independent segmentation modules: measurement tool identification module, measured part identification module, and hand posture identification module. Each module processes specific visual information independently using dedicated algorithms, making the overall complex system more manageable and maintainable.
Data Source
AI summary
A measurement assistance system and method are provided. The measurement assistance system includes: a measurement platform, having an operation area configured for a to-be-measured object and a measurement tool to be placed; a camera, arranged on the measurement platform and configured to obtain a measurement image; and a server module, electrically connected to the camera and configured to execute a measurement tool identification program, a measurement part identification program, and a measurement posture identification program according to the measurement image, and determine whether a measurement tool appearance image, a measurement part image, and a measurement posture image are correct. The server module has a processing unit. When the measurement tool appearance image, the measurement part image, and the measurement posture image are all correct, a measurement result is generated according to measurement data.