Object Sensor Switching Point Setting for Complex Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional sensors face challenges in reliably detecting objects due to variations in foreground and background objects, requiring manual adjustment of the switching point, which is time-consuming and requires experienced users, and fails in complex situations with multiple sensor signals.
Innovation Solution
A sensor system that automates the setting of the switching point through a training phase where the sensor is exposed to various detection situations, allowing for the derivation of a robust switching point using labeled training data, enabling flexible and robust object detection without the need for expert users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the switching point is set manually using trial and error, then the sensor can detect objects with sufficient robustness, but the process is time-consuming and requires experienced users
Solution Approach 1:
The sensor automatically determines the switching point by evaluating sensor signals from multiple objects with different properties, eliminating the need for manual trial-and-error adjustment by experienced users. The sensor performs self-configuration by processing detection results from diverse objects and autonomously setting the switching point.
Solution Approach 2:
The sensor performs preliminary detection of multiple objects with varying properties before finalizing the switching point setting. By evaluating sensor signals from diverse objects in advance, the system prepares the optimal switching point configuration before actual operation begins.
2Ease of manufacture
If the switching point is set based on a single reference object, then the setup is simple, but the detection fails to account for variations in foreground and background objects
Solution Approach 1:
The detection process is segmented into multiple stages: first detecting a reference object to establish an initial switching point, then detecting additional objects with different properties to evaluate and adjust the switching point. This segmentation allows the system to maintain simplicity while adapting to object variations.
Solution Approach 2:
The sensor is designed to detect multiple types of objects with different properties (shininess, printing, inhomogeneities, sizes, positions) using the same detection mechanism. The switching point determination process is universal, working across diverse object types without requiring specialized configuration for each object category.
3Reliability
If the switching point is set to account for all theoretical extremes, then detection robustness is maximized, but the minimal distance between object and background becomes impractically large
Solution Approach 1:
Instead of accounting for all theoretically possible extremes, the sensor evaluates sensor signals from a representative set of objects with different properties and sets the switching point based on this partial evaluation. This partial action approach achieves sufficient robustness without requiring the impractically large safety margins that would result from considering every theoretical extreme.
4Ease of manufacture
If manual switching point adjustment is used, then the process is simple to implement, but it reaches limits when expert intuition fails in complex situations
Solution Approach 1:
The manual trial-and-error adjustment process is replaced with an automated evaluation system that processes sensor signals from multiple objects and determines the switching point through systematic analysis. This substitution of mechanical/manual adjustment with automated signal evaluation enables the system to handle complex situations where expert intuition fails, while maintaining ease of implementation through automatic operation.
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
The automated setting of the switching point improves the reliability and flexibility of object detection, allowing the sensor to function effectively in complex situations with multi-dimensional sensor signals, reducing the need for manual adjustments and expert intervention.
Implementation Method 1
Optoelectronic sensors include through beam light barriers and reflection light barriers that recognize interruptions or attenuations of a light beam directed onto a light receiver directly or via a reflector
Implementation Method 2
With a triangulation sensor, the optical axes of the light transmitter and the light receiver are slanted with respect to one another and the angle at which an object is detected can be measured with the aid of a spatially resolving light receiver
Data Source
AI summary
A sensor (10) is provided for detecting an object (20) in a monitored zone (18), having at least one sensor element (36) for detecting a sensor signal; having a switch output (30) for outputting a binary object determination signal; and having an evaluation unit (28) that is configured to generate the object determination signal from the sensor signal in dependence on the detected object (20) and to determine, in a teaching phase, a switching point that determines the association between the sensor signal and the object determination signal. The evaluation unit (28) is further configured to detect a respective sensor signal for a plurality of detection situations in the teaching phase, with the associated object determination signal being predefined for the respective detection situation and with the switching point being derived therefrom.