Object Shape Detection Using Polarized Wave Intensity Comparison
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Solution Overview
Problem
Existing object shape detection technologies cannot accurately recognize raised or depressed portions on the surface of objects using reflected electromagnetic waves, as they rely on polarized wave characteristics that fail to distinguish between these features.
Innovation Solution
An object shape detection apparatus that emits both horizontally and vertically polarized electromagnetic waves, compares their intensities, and uses a reflection intensity comparator to determine the presence of raised or depressed portions, with a variable narrow-band rejection filter to isolate and measure the raised portions, allowing for precise detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If polarized wave characteristics are used for object detection, then object recognition capability is improved, but surface shape detection capability deteriorates
Solution Approach 1:
The patent segments the reflected wave signal processing into two distinct analysis paths: one analyzing polarized wave characteristics for object recognition, and another analyzing reflection intensity distribution for surface shape detection. This segmentation allows both functions to operate simultaneously without interference, resolving the contradiction between object recognition capability and surface shape detection precision.
Solution Approach 2:
The patent transitions from analyzing only polarized wave characteristics (one-dimensional approach) to incorporating reflection intensity distribution across multiple receiving antennas (adding spatial dimension). By examining intensity variations across different antenna positions, the system can detect surface shape features such as raised and depressed portions while maintaining object recognition capability.
2Loss of information
If reflected wave intensity comparison is performed, then surface shape information is obtained, but detection precision of raised portions deteriorates due to signal interference
Solution Approach 1:
The patent extracts and isolates the signal component corresponding to raised portions by comparing reflection intensities across multiple receiving antennas. The signal processing unit identifies and extracts the specific intensity variation pattern that characterizes raised portions, separating it from background interference and other signal components, thereby improving detection precision.
Solution Approach 2:
The patent introduces signal processing means as an intermediary between the receiving antennas and the detection output. This intermediary performs complex signal processing operations including intensity comparison, noise filtering, and feature extraction, which mediate the raw reflected wave signals to produce accurate raised portion detection while preserving surface shape information.
3Reliability
If multiple polarized wave components are received, then object classification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent designs the receiving antenna system to serve multiple functions simultaneously: the same array of receiving antennas is used for both polarized wave component analysis (object classification) and reflection intensity distribution analysis (surface shape detection). This multi-functionality reduces device complexity by eliminating the need for separate antenna systems for each detection mode.
Solution Approach 2:
The patent merges the signal processing functions for polarized wave analysis and intensity distribution analysis into a unified processing framework. By combining these functions, the system achieves object classification and surface shape detection using a single receiver structure, thereby reducing overall device complexity while maintaining high accuracy for both functions.
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
Enables accurate detection of raised and depressed portions on object surfaces by differentiating wave intensities, effectively overcoming the limitations of previous technologies and providing detailed surface shape information.
Implementation Method 1
a reflected wave of a radiated electromagnetic wave reflected back by the object
Implementation Method 2
a horizontally polarized wave component and a vertically polarized wave component of an electromagnetic wave
Data Source
AI summary
Provided is an object shape detection apparatus that can detect the shape of a raised or depressed portion on the surface of an object. In accordance with a comparison result obtained by a reflection intensity comparator with regard to intensity of a horizontally polarized wave component and a vertically polarized wave component of a reflected wave, the object shape determiner detects the shape of the raised portion and the shape of the depressed portion of a detection target object. The object locator detects the position of the raised portion and the position of the depressed portion of the detection target object by measuring the distance to the raised portion and the distance to the depressed portion of the detection target object detected by the object shape determiner.