Enhanced Infant Feeding System with Advanced Sensors and Analytics

Publication ID: 24-11857507_0001_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Infant Feeding System with Advanced Sensors and Analytics,” Published Technical Disclosure No. 24-11857507_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857507_0001_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. 11,857,507.

Summary of the Inventive Concept

An intelligent infant feeding system that leverages advanced sensors, machine learning algorithms, and real-time analytics to optimize feeding experiences, enhance safety, and foster caregiver-infant interaction.

Background and Problem Solved

The original infant feeding system patent, while innovative, had limitations in terms of sensor capabilities, data analysis, and caregiver support. The new inventive concept addresses these limitations by integrating advanced sensors, machine learning algorithms, and real-time analytics to provide personalized feeding recommendations, detect abnormal feeding patterns, and enhance caregiver-infant interaction.

Detailed Description of the Inventive Concept

The enhanced infant feeding system comprises a smart feeding bottle with advanced sensors, including temperature, accelerometer, and environmental light sensors. The sensors transmit data to a server, where machine learning algorithms analyze the data to generate personalized feeding recommendations, detect abnormal feeding patterns, and provide alerts to caregivers. Additionally, the system includes a UV-C light source for sanitizing the bottle and nipple, and a mobile application for tracking and analyzing feeding data. The system also features a built-in speaker for playing soothing music or voice messages, and a microphone for detecting and responding to infant sounds.

Novelty and Inventive Step

The new inventive concept introduces advanced sensors, machine learning algorithms, and real-time analytics to optimize feeding experiences, enhance safety, and foster caregiver-infant interaction. The integration of these components and the specific implementation of the machine learning algorithms and analytics are novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different sensor types, such as flow rate sensors or pressure sensors, or the integration of additional features, such as video or audio recording capabilities. Variations of the system could also be designed for specific use cases, such as premature infant feeding or feeding in resource-constrained environments.

Potential Commercial Applications and Market

The enhanced infant feeding system has significant commercial potential in the baby care industry, particularly in the areas of infant nutrition, safety, and caregiver support. The system could be marketed as a premium product for parents seeking advanced features and analytics to support their infant's feeding and development.

CPC Classifications

SectionClassGroup
A A61 A61J9/02
A A61 A61J9/06
A A61 A61J2200/74

Field of Art

Infant Care Technology, specifically smart feeding systems with sensor integration and data analytics for infant nutrition monitoring

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or technical professional with expertise in pediatric care technologies, sensor systems, data analytics, and mobile health applications, possessing knowledge of IoT device design and machine learning techniques

Obviousness Rationale

A person of ordinary skill would recognize that extending the source patent's smart feeding bottle concept with additional sensors, machine learning algorithms, and interactive features represents a predictable technological progression. The PTD's variations leverage known sensor technologies and data processing techniques to enhance the core infant feeding monitoring system. These incremental improvements would be considered obvious combinations of existing technological capabilities within the infant care technology domain.

Obvious Combinations & Variations

Source Patent Element
Smart feeding bottle with basic sensor capabilities for measuring physical properties
PTD Variation
Adding UV-C light sanitization feature and integrated speaker/microphone for enhanced interaction
Obviousness Reasoning
Sanitization and audio interaction are known techniques in medical device design, representing predictable extensions of existing sensor-enabled systems
Source Patent Element
Pattern recognition algorithm for analyzing feeding data
PTD Variation
Implementing machine learning techniques to generate personalized feeding recommendations and caregiver alerts
Obviousness Reasoning
Advanced data analytics and personalization are standard design choices in IoT health monitoring technologies, representing an obvious technological progression
Source Patent Element
Sensor-based infant feeding system with data transmission capabilities
PTD Variation
Mobile application integration for comprehensive feeding habit tracking and real-time analytics
Obviousness Reasoning
Mobile health application development is a well-established practice, and extending sensor data visualization represents a predictable technological solution
Source Patent Element
Temperature and orientation sensors in infant feeding system
PTD Variation
Adding environmental light, flow rate, and pressure sensors for more comprehensive monitoring
Obviousness Reasoning
Expanding sensor capabilities is a routine engineering design choice with predictable outcomes in smart device development
Source Patent Element
Basic neural network for pattern recognition in feeding data
PTD Variation
Advanced machine learning algorithms for detecting abnormal feeding patterns and generating contextual recommendations
Obviousness Reasoning
Incremental improvements in machine learning techniques represent an obvious technological evolution within data analytics domains
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857507 and the disclosed technological variations, a person having ordinary skill in the art would find the enhanced infant feeding system technologies obvious and non-patentable. The incremental sensor, analytics, and interaction improvements represent predictable technological progressions that would be readily conceived by a skilled practitioner without requiring inventive insight beyond the existing prior art.

Original Patent Information

Patent NumberUS 11,857,507
TitleInfant feeding system
Assignee(s)Koninklijke Philips N.V.