Object Detection Using Waveform Widths Under Signal Saturation
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Solution Overview
Problem
Existing object detection systems struggle to accurately distinguish between real and virtual objects due to saturation of peak intensities in signal waveforms, limiting their versatility in determining virtual objects.
Innovation Solution
An object detection device and method that utilize a sensor to detect multiple signal waveforms with time differences, determining whether an object is virtual based on the magnitude relationship of waveform widths, amplitudes, and peak intensities, even in cases of saturation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If peak intensity comparison is used to determine virtual objects, then detection method is simple, but accuracy deteriorates when peak intensities are saturated
Solution Approach 1:
The patent changes the detection parameter from peak intensity to waveform width. When peak intensities are saturated and cannot distinguish virtual objects, the waveform width parameter provides additional discrimination capability. The controller compares waveform widths of signal waveforms to identify virtual objects, which have characteristic width patterns different from real objects, thereby maintaining detection accuracy under saturation conditions.
2Ease of operation
If only peak intensity is used for object determination, then detection process is simple, but versatility deteriorates in saturated conditions
Solution Approach 1:
The patent adds another dimension to the detection process by introducing waveform width analysis alongside peak intensity comparison. This dimensional expansion allows the system to handle saturated conditions where peak intensity alone is insufficient. The controller evaluates both peak intensity relationships and waveform width characteristics, providing versatile object determination that adapts to various lighting and saturation scenarios.
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
Enhances the accuracy and versatility of virtual object detection by effectively distinguishing between real and virtual objects, even when peak intensities are saturated, thereby improving the reliability of object detection systems.
Implementation Method 1
detects reflection light from an object in the measurement area using the sensor
Data Source
AI summary
An object detection device or an object detection method for detecting an object irradiates, with light, a measurement area using a sensor, detects reflection light from an object in the measurement area using the sensor, detecting a plurality of signal waveforms of the reflection light, wherein the plurality of waveforms reach the sensor with a time difference, and determines whether the object indicated by the plurality of signal waveforms is a virtual object based on a magnitude relationship of a plurality of waveform widths of the plurality of signal waveforms.