Optical sensing system and method for eliminating misjudgment of reflective lights
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Solution Overview
Problem
Conventional optical sensing systems in autonomous robots face inaccuracies in detecting obstacles due to secondary reflections, leading to misjudgment and requiring substantial storage space for frame comparisons.
Innovation Solution
An optical sensing system that emits detection light, receives reflective signals, and uses a processing circuit to generate characteristic patterns, analyze them for sub-patterns, and compare their positions with a reference pattern to eliminate misjudgment by selecting the closest sub-pattern, thereby determining the presence of objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frame comparison method is used to eliminate misjudgment, then measurement precision is improved, but device complexity and storage space requirements increase
Solution Approach 1:
The patent segments the characteristic pattern into multiple sub-patterns, each representing different spatial regions. By comparing sub-patterns independently against reference patterns, the system achieves accurate obstacle detection without storing complete frame data, thus reducing storage requirements while maintaining measurement precision.
Solution Approach 2:
The system performs preliminary calibration to establish reference patterns before actual obstacle detection. These reference patterns are stored instead of complete frame data, allowing the system to eliminate misjudgment caused by reflective lights while minimizing storage space requirements through advance preparation.
2Quantity of substance
If sub-pattern comparison method is used, then storage space is reduced, but measurement precision may be compromised
Solution Approach 1:
The characteristic pattern is divided into multiple sub-patterns that can be independently compared against reference patterns. This segmentation allows the system to store only essential reference data rather than complete frames, reducing storage space while maintaining the ability to accurately identify reflective signals through localized pattern matching.
Solution Approach 2:
Different sub-patterns are compared with appropriate reference patterns based on their specific characteristics and positions. This localized comparison approach ensures that each region is evaluated with the most suitable reference, maintaining high measurement precision for reflective signal identification while using minimal storage space.
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
Effectively eliminates misjudgment caused by reflective lights by accurately identifying real reflective signals and reducing storage requirements by using a few data points for calibration, without needing line- or frame-buffers.
Implementation Method 1
emitting a detection light by a light source; receiving reflective light signals by a light sensor
Data Source
AI summary
An optical system and a method for eliminating misjudgment of reflective lights are provided. The method includes: emitting a detection light by a light source; receiving reflective light signals by a light sensor; and configuring a processing circuit to: generate a characteristic pattern according to the reflective light signals received by the light sensor; analyze the characteristic pattern and determine whether or not the characteristic pattern includes a plurality of sub-patterns; in response to determining that the characteristic pattern includes the plurality of sub-patterns, compare positions of the sub-patterns with a reference position of a reference pattern; and select the sub-pattern having the position that is closest to the reference position to determine whether an object possesses and eliminate misjudgment caused by the reflective lights.