Fitting with automatic object recognition and method for controlling a fitting by means of automatic object recognition
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Solution Overview
Problem
Existing sanitary fittings face challenges in reliable control, especially in noisy environments, as voice recognition is impaired, and there is a need for improved automatic support in various applications, requiring a solution for contactless operation and versatile usage.
Innovation Solution
A fitting with an imaging sensor, such as a 2D or 3D camera, thermal imaging, ultrasonic, or LIDAR sensor, combined with an image processing unit and communication capabilities, enabling object recognition and control of sanitary elements without contact, using neural networks for self-learning and feedback integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice recognition is used for contactless control, then ease of operation is improved, but reliability deteriorates in noisy environments
Solution Approach 1:
The patent introduces imaging sensors (cameras, depth sensors, LIDAR) as intermediary devices to detect user presence and gestures, serving as a mediator between the user and the fitting control system. This replaces direct voice command reliance with visual field analysis, enabling contactless operation while maintaining reliability in noisy environments where voice recognition fails.
2Adaptability or versatility
If imaging sensors and object recognition are implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal object recognition system using imaging sensors that can identify multiple object types (hands, cups, bottles, plates, bowls) and trigger different actions based on object classification. This single multi-functional system replaces the need for separate control mechanisms for different applications, achieving versatility while managing complexity through integrated processing.
Solution Approach 2:
The system employs self-learning capabilities through machine learning algorithms that automatically classify objects and determine appropriate actions without requiring manual programming for each scenario. The neural network processes sensor data autonomously to identify objects and trigger corresponding fitting actions, reducing the complexity of manual system configuration and adaptation.
3Measurement precision
If multiple sensor types are combined, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (2D cameras, 3D/stereo cameras, thermal imaging cameras, LIDAR, ToF sensors) into an integrated sensing system that processes data collectively for object recognition. By merging these sensors under a unified control unit with machine learning capabilities, the system achieves high measurement precision for object detection while managing complexity through integrated data processing rather than separate independent systems.
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
Enables reliable, contactless control of sanitary fittings across different applications, improving user assistance and adaptability by accurately recognizing objects and triggering specific actions based on object classification, position, and movement, enhancing user experience and operational efficiency.
Implementation Method 1
The imaging sensor is used to detect a scene in a spatial area of the fitting... the at least one imaging sensor is a 2D or 3D/stereo (optical) camera (for the visible light range)
Implementation Method 2
a thermal imaging camera (for the infrared/IR light range)
Implementation Method 3
a laser distance measurement sensor, in particular a LIDAR (=light detection and ranging) or ToF (=time of flight) sensor
Data Source
AI summary
A fitting, in particular an outlet fitting, for a sanitary installation has a control unit, a sanitary element controllable with the control unit, and at least one imaging sensor. The control unit is adapted to trigger an action of the sanitary element depending on an object recognition based on at least one output signal from the at least one imaging sensor. A fitting arrangement with such a fitting as well as a method for controlling such a fitting are also provided.