Reflective Recognition System Virtual Image Suppression
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Solution Overview
Problem
Existing recognition techniques for moving objects in scanning spaces often fail to accurately distinguish between real and virtual images caused by reflectors, leading to erroneous recognition and reduced accuracy.
Innovation Solution
A recognition system that acquires scanning data including a far side point group and generates recognition data by excluding symmetrical point groups corresponding to virtual images, allowing for proper recognition of real images as moving objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If scanning data includes far side point group from reflector, then measurement coverage is improved, but recognition accuracy deteriorates due to virtual image interference
Solution Approach 1:
The patent segments the far side point group into two distinct parts: symmetrical point group (virtual image) and non-symmetrical point group (real object). By applying symmetry analysis with respect to the reflector position, the system separates erroneous virtual image data from valid real object data, allowing both comprehensive scanning coverage and high recognition accuracy to be achieved simultaneously
Solution Approach 2:
The patent extracts and removes the symmetrical point group corresponding to virtual images from the far side point group. By identifying points that are symmetric with respect to the reflector and excluding them from recognition processing, the system eliminates the harmful virtual image interference while preserving all real object detections
2Reliability
If reflector is included in focus range, then scanning completeness is improved, but false recognition increases due to virtual image generation
Solution Approach 1:
The patent converts the harmful virtual image effect into a useful identification feature. By utilizing the symmetry property of virtual images with respect to the reflector, the system creates a distinctive characteristic that allows automatic differentiation between virtual and real objects. The virtual image's symmetric nature becomes the key to eliminating false recognition rather than being merely a source of error
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
This approach effectively suppresses erroneous recognition caused by virtual images and improves the accuracy of recognizing moving objects by correctly identifying real images in the scanning space.
Implementation Method 1
a reflector Or disposed in a focus range in which a reflection characteristic with respect to irradiation light from a scanning device 3 is on a high reflection side
Implementation Method 2
the symmetrical point group Ps corresponds to a scanning point group of a real image Ia that causes a virtual image Iv to appear at a position on the far side of the reflector Or
Data Source
AI summary
A target moving object movable in a scanning space scanned by illumination light is recognized. Scanning data including a far side point group is acquired as a scanning point group on a far side of a reflector in a scanning direction in which the reflector is disposed in a focus range having a reflection characteristic on a high reflection side. Recognition data is generated by excluding, from the far side point group for a recognition target, a part of the far side point group corresponding to a symmetrical point group in a symmetrical area of the position on the far side of the reflector. The symmetrical point group corresponds to a scanning point group of a real image that causes a virtual image to appear at the position on the far side of the reflector.