Next-Generation Retrofittable Sensor Unit for Intelligent Cleaning

Publication ID: 24-11857134_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Retrofittable Sensor Unit for Intelligent Cleaning,” Published Technical Disclosure No. 24-11857134_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857134_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,134.

Summary of the Inventive Concept

A novel retrofittable sensor unit that leverages machine learning, computer vision, and IoT connectivity to optimize cleaning processes, reduce energy consumption, and provide personalized user experiences in washing machines.

Background and Problem Solved

The original patent disclosed a retrofittable sensor unit for controlling a dosing device in a cleaning machine. However, it lacked the ability to learn from historical data, interact with users, and adapt to real-time washing solution conditions. The new inventive concept addresses these limitations by integrating advanced sensors, machine learning algorithms, and cloud-based data analytics to revolutionize the cleaning industry.

Detailed Description of the Inventive Concept

The next-generation retrofittable sensor unit comprises a viscosity sensor, a turbidity sensor, a mini-camera, and a machine learning module. The sensor unit is retrofitted to a washing machine and communicates with a cloud-based data analytics platform and a mobile application. The machine learning module analyzes real-time washing solution data and historical cleaning data to predict optimal detergent dosing. The mini-camera captures images of the washing solution, which are analyzed using computer vision algorithms to determine the degree of soiling. The system adjusts the detergent dosing accordingly and provides personalized cleaning recommendations to the user through the mobile application.

Novelty and Inventive Step

The new claims introduce the use of machine learning, computer vision, and IoT connectivity to optimize cleaning processes, which is not anticipated by the original patent. The integration of these technologies enables real-time monitoring, adaptive detergent dosing, and personalized user experiences, making the new inventive concept a significant departure from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as thermal or calorific sensors, or the integration of autonomous detergent dosing systems. The system could also be adapted for use in other cleaning machines, such as dishwashers or dry cleaning machines.

Potential Commercial Applications and Market

The next-generation retrofittable sensor unit has significant commercial potential in the cleaning industry, particularly in the laundry and home care sectors. The system's ability to optimize cleaning processes, reduce energy consumption, and provide personalized user experiences makes it an attractive solution for manufacturers and consumers alike.

CPC Classifications

SectionClassGroup
A A47 A47L15/4297
A A47 A47L15/0055
A A47 A47L15/449
D D06 D06F33/57
D D06 D06F34/22
D D06 D06F2103/02
D D06 D06F2103/18
D D06 D06F2103/20
D D06 D06F2105/42
D D06 D06F2105/58

Field of Art

Washing machine sensor systems and control technologies, encompassing mechanical engineering, sensor integration, and intelligent control systems for cleaning appliances

Person of Ordinary Skill (PHOSITA) Profile

A mechanical engineer with expertise in sensor technologies, control systems, and appliance design, possessing knowledge of IoT integration, machine learning applications, and adaptive sensing techniques

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning and computer vision extensions are logical progressions from the source patent's fundamental sensor unit design. The core sensing architecture remains consistent, with the primary innovation being the application of advanced data processing and connectivity technologies to existing sensor configurations. These technological enhancements represent predictable improvements that would be obvious to a skilled practitioner seeking to optimize washing machine performance.

Obvious Combinations & Variations

Source Patent Element
Sensor unit with viscosity and turbidity sensors for washing solution monitoring
PTD Variation
Adding machine learning module to analyze sensor data and predict optimal detergent dosing
Obviousness Reasoning
Applying machine learning to sensor data is a known technique for extracting advanced insights, representing a predictable application of existing computational technologies to improve sensor functionality
Source Patent Element
Wireless communication unit for connecting cleaning machines
PTD Variation
Implementing cloud-based data analytics platform and mobile application for real-time monitoring
Obviousness Reasoning
Extending wireless communication to cloud-based systems is a standard IoT integration approach, representing an obvious technological progression for smart appliance design
Source Patent Element
Retrofittable sensor unit with optical sensors
PTD Variation
Incorporating mini-camera with computer vision algorithms to assess washing solution conditions
Obviousness Reasoning
Integrating image-based sensing with existing optical sensor technologies is a logical extension of sensor capabilities, utilizing well-established computer vision techniques
Source Patent Element
Energy conversion system with dynamo for electrical generation
PTD Variation
Implementing self-sustaining power generation through alternative energy harvesting mechanisms
Obviousness Reasoning
Exploring alternative energy harvesting techniques is a predictable design choice for improving sensor unit autonomy and reducing external power dependencies
Source Patent Element
Sensor unit for individual washing machine control
PTD Variation
Creating decentralized network of interconnected washing machine sensor units
Obviousness Reasoning
Expanding single-device sensing to networked sensor systems represents a standard approach to improving collective performance through distributed intelligence
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857134 and the disclosed technical variations, a person of ordinary skill in the art would find the proposed sensor unit innovations obvious and non-patentable. The combination of existing sensor technologies with machine learning, computer vision, and IoT connectivity represents predictable technological extensions that do not meet the non-obviousness requirements of 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,134
TitleRetrofittable sensor unit for controlling a dosing device
Assignee(s)Henkel AG & Co. KGaA