Infrared Sensor 3D Shape Detection via Segmented Area Measurement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Infrared distance measuring sensors face challenges in accurately acquiring three-dimensional coordinate values due to the reflection characteristics of the floor surface, which affects the precision of detecting the three-dimensional shape of a detection area.
Innovation Solution
A detection method and system that utilize an infrared distance measuring sensor to acquire three-dimensional coordinate values of at least two points in a smaller second area, calculate the position of a plane including the second area, and decide this position as the three-dimensional shape of a larger first area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If an infrared distance measuring sensor is used to acquire three-dimensional coordinate values of the floor surface, then the detection coverage area can be enlarged, but the measurement precision deteriorates due to reflection characteristics of the floor surface
Solution Approach 1:
The detection area is divided into a first area (larger area with lower precision requirements) and a second area (smaller area with higher precision requirements). By segmenting the detection space and applying different measurement strategies to different regions, the system achieves both large coverage and high precision where needed.
Solution Approach 2:
Different measurement approaches are applied to different regions: the second area (smaller region) uses a measurement method that ensures high precision three-dimensional coordinate acquisition, while the first area (larger region) uses a different approach that prioritizes coverage. This local differentiation resolves the contradiction between coverage area and measurement precision.
2Productivity
If the infrared distance measuring sensor measures the entire first area directly, then the detection efficiency is improved, but the measurement precision deteriorates due to reflection characteristics
Solution Approach 1:
The measurement process is segmented into two stages: first measuring the larger first area to establish overall coverage and efficiency, then focusing on the smaller second area to achieve high precision coordinate values. This segmentation allows the system to maintain both detection efficiency and measurement precision.
Solution Approach 2:
The system performs measurement on the smaller second area with excessive precision requirements to ensure that at least two points with accurate three-dimensional coordinate values can be obtained. This partial focus on a smaller region with higher measurement standards resolves the contradiction between overall detection efficiency and local measurement precision.
3Measurement precision
If a smaller second area is used for measurement, then the measurement precision is improved, but the detection coverage area is reduced
Solution Approach 1:
The system segments the detection task into two parts: measuring a smaller second area to obtain high-precision coordinate values, and using those values to represent the larger first area. This segmentation allows high precision measurement on a small area while still achieving coverage of the larger area through plane extrapolation.
Solution Approach 2:
The high-precision measurement results from the smaller second area are used to create a representative model (plane equation) that copies the characteristics of the larger first area. This copying approach allows the system to achieve both small-area measurement precision and large-area detection coverage.
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 allows for accurate detection of the three-dimensional shape of the first area by overcoming the limitations of infrared distance measuring sensors in capturing precise three-dimensional coordinates, especially when dealing with reflective surfaces.
Implementation Method 1
an infrared distance measuring sensor, which detects reflected light of infrared light cast by the infrared projector
Implementation Method 2
the reflection characteristic of the floor surface
Data Source
AI summary
A detection method includes acquiring three-dimensional coordinate values of at least two points in a second area included in a first area, based on measured values acquired by measuring the first area by an infrared distance measuring sensor, the second area is smaller than the first area, calculating a position of a plane including the second area, based on the three-dimensional coordinate values of the at least two points, and deciding the position of the plane as a three-dimensional shape of the first area.


