Optoelectronic Sensor Triangulation Light Spot Feature Analysis
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Solution Overview
Problem
Existing optoelectronic sensors face challenges in reliably detecting shiny or transparent objects due to interference from backgrounds and noise, particularly in scenarios with varying brightness levels and complex light reflections, leading to inaccurate distance measurements and robustness issues.
Innovation Solution
The sensor employs a triangulation principle with a light transmitter and receiver arranged to form a receiving light spot that moves over light receiving elements, evaluating multiple feature dimensions such as position, energy, and width of the light spot, using a control and evaluation unit to set limit values based on observed variance, enabling robust object detection by combining signals from processing channels to filter out noise and interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a line sensor with a large number of light-receiving elements is used to achieve required spatial resolution, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The light receiver is divided into multiple processing channels, each handling a specific spatial region or characteristic. This segmentation allows the system to process information from many light-receiving elements through a reduced number of channels, maintaining spatial resolution while reducing overall system complexity
Solution Approach 2:
The patent evaluates multiple feature dimensions (position, energy, width) of the received light spot instead of relying solely on spatial resolution from individual pixels. This dimensional transformation allows accurate object detection using fewer light-receiving elements by extracting multiple characteristics from each element's signal
2Reliability
If complex signal processing is applied to suppress noise and interference, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent evaluates multiple feature dimensions (position, energy, width) of the received light spot to characterize objects. By analyzing objects through multiple dimensional features rather than single threshold comparisons, the system achieves robust noise and interference suppression with relatively simple processing operations
Solution Approach 2:
The system employs periodic sampling and evaluation of light spot features across multiple measurement cycles. This periodic evaluation allows the system to distinguish between transient noise and genuine object signals by comparing feature consistency over time, improving reliability without requiring complex real-time processing
3Measurement precision
If multiple feature dimensions are evaluated for object detection, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system pre-defines evaluation criteria and threshold values for multiple feature dimensions during system initialization or calibration phases. By preparing evaluation parameters in advance, the actual detection process only requires comparing measured features against pre-established criteria, significantly reducing real-time processing time while maintaining high detection accuracy
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 significantly improves the detection of critical objects by providing a more reliable and robust attendance decision, capable of distinguishing between objects and background even in challenging conditions, with enhanced precision and reduced noise interference.
Implementation Method 1
The light returning from the object after remission or reflection generates a received light spot on a light receiver
Implementation Method 2
The light transmitter and light receiver form a triangulation arrangement, i.e., they are arranged and aligned relative to one another according to the triangulation principle such that the received light spot moves across the light receiving elements of the light receiver depending on the distance from the scanned object
Implementation Method 3
A light receiver having a plurality of light receiving elements or pixels
Data Source
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AI summary
An optoelectronic sensor (10) for detecting an object (20) in a monitoring area (18) is specified, comprising a light transmitter (12) for emitting light (16) into the monitoring area (18), a light receiver (26) with a plurality of light receiving elements (28) arranged in a row for generating a respective received signal from a received light spot (34) generated on the light receiver (26) by the light (22) reflected from the object (20), wherein the light transmitter (12) and the light receiver (26) form a triangulation arrangement, and a control and evaluation unit (30) configured to determine and evaluate a first feature of the received light spot (34) from the received signals in order to determine the presence or absence of the object (20).The control and evaluation unit (30) is further designed to determine and evaluate at least one second feature of the received light spot (34) from the received signals in order to determine the presence or absence of the object (20).