X-ray Analysis Apparatus Component Recognition via Image Processing
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Solution Overview
Problem
Conventional X-ray analysis apparatuses have limitations in recognizing the types and mounting positions/directions of replaceable components due to limited indicator sensing capabilities, restricting the number of recognizable components and requiring specific mounting locations with communication cables, which increases costs and reduces flexibility.
Innovation Solution
Incorporating a camera to photograph indicators on replaceable components, using image recognition software and a CPU to determine component types, positions, and directions, eliminating the need for sensors and communication cables, allowing for more flexible and cost-effective recognition of components in new locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional sensor-based component recognition is used, then component type identification is possible, but the number of recognizable component types is limited to 32 types (5 bits)
Solution Approach 1:
The patent uses a camera to photograph the indicator on the replaceable component and creates an image copy for analysis. This image copy is then processed by image recognition software to identify component type, mounting position, and mounting direction. This approach overcomes the limitation of sensor-based systems by using visual information that can encode much more data than binary sensor signals.
Solution Approach 2:
The patent replaces the mechanical/electrical sensor and communication cable system with an optical system (camera). Instead of using physical sensors that require wired connections, the system uses image capture and digital processing to achieve component recognition, thereby eliminating cable constraints and increasing system flexibility.
2Adaptability or versatility
If sensor-based recognition with communication cables is used, then component identification is possible, but mounting location is restricted to specific positions where cables can be connected
Solution Approach 1:
The patent replaces the mechanical constraint of communication cables with an optical measurement system. The camera captures images of indicators on components regardless of their mounting position, and image recognition software processes these images to identify component information. This eliminates the need for physical cable connections and allows components to be mounted anywhere within the camera's field of view.
3Loss of information
If conventional sensor recognition is used, then component type can be identified, but mounting position and mounting direction cannot be recognized
Solution Approach 1:
The patent transitions from one-dimensional sensor signals to two-dimensional image data. The indicator on the component contains encoded information about component type, mounting position, and mounting direction. By capturing this indicator as an image and processing it with image recognition software, the system can extract multiple pieces of information simultaneously from the spatial arrangement and orientation of the indicator features.
Solution Approach 2:
The indicator on the replaceable component uses visual characteristics (such as color, pattern, or orientation) to encode component information. The camera captures these visual features, and the image recognition software analyzes them to determine component type, position, and mounting direction. This visual encoding method allows rich information transmission without requiring multiple separate sensors.
Data Source
AI summary
An X-ray analysis apparatus for detecting, using an X-ray detector, X-rays given off by a sample when the sample is irradiated with X-rays, the X-ray analysis apparatus having replaceable components. The X-ray analysis apparatus comprises labels attached to the replaceable components and including symbols indicating the types of replaceable components, a camera for photographing the replaceable components and the labels, and CPU and image recognition software for specifying the types of replaceable components by calculation based on the symbols in the labels.