3D TOF Camera Safety System with Clearance Recognition
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Solution Overview
Problem
Existing monitoring systems for safety-critical areas fail to differentiate between authorized and unauthorized objects entering the monitored zone, leading to unnecessary activation of safety functions.
Innovation Solution
A 3D time-of-flight (TOF) camera system with an evaluation unit that activates a safety function only if no clearance elements are recognized on an entering object, using optical and geometrical properties to identify authorized objects and suppress the safety function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a monitoring system activates a safety function upon detection of any object entering a safety-critical area, then safety is ensured, but unnecessary safety activations occur for authorized objects leading to reduced productivity
Solution Approach 1:
The system assigns different recognition characteristics to different objects, allowing the evaluation unit to differentiate between authorized and unauthorized objects. Authorized objects have specific recognition characteristics (such as optical markers, RFID tags, or geometric features) that enable the system to locally identify and exempt them from triggering safety functions, while maintaining safety for objects without these characteristics.
2Device complexity
If the monitoring system uses basic object detection, then the system complexity is low, but the system cannot differentiate between authorized and unauthorized objects
Solution Approach 1:
The system introduces recognition characteristics as an intermediary element between the object and the safety function activation. These characteristics (such as optical markers, reflective surfaces, or electronic tags) serve as mediators that carry identification information, allowing the evaluation unit to distinguish authorized objects without requiring complex analysis of the objects themselves.
Solution Approach 2:
The system utilizes optical properties and visual characteristics of objects to enable recognition. By detecting specific optical patterns, colors, or reflective properties on authorized objects, the evaluation unit can identify these objects and prevent unnecessary safety activations, adding identification capability without significantly increasing system complexity.
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
Ensures that only authorized objects can enter the monitored area without triggering the safety function, enhancing safety by allowing permitted objects to enter while preventing unauthorized access.
Implementation Method 1
3D time-of-flight (TOF) camera configured to monitor a safety-critical area
Implementation Method 2
These systems employ amplitude-modulated or pulsed light for purposes of illuminating the three-dimensional scene that is to be detected
Data Source
AI summary
A monitoring system includes at least one three-dimensional (3D) time-of-flight (TOF) camera configured to monitor a safety-critical area. An evaluation unit is configured to activate a safety function upon an entrance of at least one of an object and a person into the monitored area and to suppress the activation of the safety function where at least one clearance element is recognized as being present on the at least one of the object and the person.