Published Technical Disclosure Archive

Intelligent Laundry Optimization System

Publication ID: 24-11857134_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Laundry Optimization System,” Published Technical Disclosure No. 24-11857134_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857134_0010_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 next-generation laundry system integrating AI-powered laundry assistants, advanced computer vision, and wearable devices to optimize detergent dosing, energy consumption, and waste reduction.

Background and Problem Solved

The original retrofittable sensor unit patent addressed the need for real-time monitoring and control of laundry processes. However, it had limitations in terms of its ability to provide personalized dosing recommendations, optimize energy consumption, and reduce waste. The new inventive concept builds upon the original patent by incorporating AI, computer vision, and wearable technologies to create a more intelligent and sustainable laundry system.

Detailed Description of the Inventive Concept

The Intelligent Laundry Optimization System comprises a retrofittable sensor unit integrated with an AI-powered laundry assistant, which captures real-time laundry data and transmits it to the AI assistant for personalized dosing recommendations. The system also incorporates advanced computer vision capabilities to analyze fabric types, soil levels, and colorfastness, providing precision dosing and stain removal recommendations. Additionally, a wearable device enables users to monitor and control their laundry processes remotely, and receive personalized laundry advice based on their usage patterns and preferences. The system can be decentralized, allowing multiple laundry machines to share data and optimize detergent dosing, energy consumption, and waste reduction.

Novelty and Inventive Step

The new inventive concept introduces the integration of AI, computer vision, and wearable technologies to create a more intelligent and sustainable laundry system. The use of AI-powered laundry assistants, advanced computer vision, and wearable devices to optimize laundry processes is novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the Intelligent Laundry Optimization System could include the use of different AI algorithms, integration with other smart home devices, or the development of specialized laundry apps for specific fabric types or cleaning tasks.

Potential Commercial Applications and Market

The Intelligent Laundry Optimization System has significant commercial potential in the laundry industry, particularly in the areas of smart home appliances, sustainable laundry practices, and personalized customer experiences. Target industries could include laundry detergent manufacturers, appliance manufacturers, and laundry service providers.

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

Laundry and cleaning machine sensor systems, with expertise in retrofittable sensor technologies, data acquisition, and intelligent control systems for domestic appliances

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with advanced degrees in mechanical engineering, electrical engineering, or computer science, with specialized knowledge in sensor integration, IoT technologies, and appliance control systems

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's AI-powered and computer vision-enhanced sensor system represents a predictable technological evolution of the source patent's retrofittable sensor unit. The core technical concept of a sensor-enabled dosing optimization system remains consistent, with the PTD merely extending the existing technological framework through well-known AI and computer vision techniques. The incremental improvements in data processing and user interaction would be considered obvious extensions of the existing sensor technology disclosed in the source patent.

Obvious Combinations & Variations

Source Patent Element
Retrofittable sensor unit with viscosity and turbidity sensors for washing solution analysis
PTD Variation
AI-powered laundry assistant that uses sensor data for personalized dosing recommendations
Obviousness Reasoning
Predictable application of machine learning to existing sensor data collection, representing a known technique for enhancing sensor system intelligence
Source Patent Element
Communication unit for wireless communication with other devices
PTD Variation
Decentralized laundry network sharing optimization data across multiple machines
Obviousness Reasoning
Logical extension of existing wireless communication capabilities, applying known distributed computing principles to sensor networks
Source Patent Element
Sensor unit with optical sensors and mini-camera for capturing article conditions
PTD Variation
Advanced computer vision system analyzing fabric types, soil levels, and colorfastness
Obviousness Reasoning
Natural progression of existing image capture technologies, utilizing well-established computer vision techniques to extract more detailed information
Source Patent Element
Energy conversion system with dynamo for generating electrical energy
PTD Variation
Integration with wearable devices and smart home ecosystems for energy monitoring
Obviousness Reasoning
Predictable expansion of energy-aware technologies, applying known IoT integration techniques to existing energy generation concepts
Source Patent Element
Sensor unit for controlling dosing device in cleaning machines
PTD Variation
Cloud-based AI platform for customized dosing instructions based on real-time sensor data
Obviousness Reasoning
Obvious application of cloud computing and machine learning to existing sensor-based dosing control systems
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in the published technical disclosure would have been obvious to a person having ordinary skill in the art at the time of the invention, as they represent predictable technological extensions of the sensor system disclosed in US Patent 11857134, combining known techniques in AI, computer vision, and distributed sensor networks to enhance existing cleaning machine control technologies.

Original Patent Information

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