Enhanced Multi-Purpose Video Monitoring Camera for Infant Care

Publication ID: 24-11857311_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Multi-Purpose Video Monitoring Camera for Infant Care,” Published Technical Disclosure No. 24-11857311_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857311_0006_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. 11,857,311.

Summary of the Inventive Concept

An advanced video monitoring camera system that leverages machine learning, thermal imaging, and multi-camera configurations to provide accurate and comprehensive infant care monitoring, addressing the limitations of existing video baby monitors.

Background and Problem Solved

The original patent's multi-purpose video monitoring camera, while innovative, had limitations in terms of accuracy and false alarm rates. The new inventive concept addresses these limitations by integrating machine learning algorithms, thermal imaging, and multi-camera configurations to provide more accurate and reliable infant care monitoring.

Detailed Description of the Inventive Concept

The enhanced multi-purpose video monitoring camera system comprises a microprocessor, a CMOS video camera, a thermographic video camera, and a machine learning module. The machine learning module analyzes video and thermal data to detect and analyze infant breathing patterns, providing real-time feedback to caregivers. The system can also be configured to monitor infant sleep patterns, detect suffocation, and predict sleep quality. Additionally, the system can be expanded to include multiple cameras mounted in different locations, providing a comprehensive view of the infant's activity and well-being.

Novelty and Inventive Step

The new claims introduce novel and non-obvious features, including the integration of machine learning algorithms, thermal imaging, and multi-camera configurations, which significantly improve the accuracy and reliability of infant care monitoring. These features are not taught or suggested by the original patent and represent a substantial improvement over the existing art.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in camera configurations, such as using different types of sensors or adding additional features like audio monitoring. The system could also be adapted for use in different settings, such as hospitals or daycare centers, or integrated with other health monitoring systems.

Potential Commercial Applications and Market

The enhanced multi-purpose video monitoring camera system has significant commercial potential in the infant care market, particularly in the context of video baby monitors. The system's advanced features and improved accuracy could provide a competitive advantage in the market, appealing to parents and caregivers seeking more reliable and comprehensive infant care monitoring solutions.

Field of Art

Video monitoring systems for infant care, specifically involving computer vision, thermal imaging, and machine learning techniques for health monitoring

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in computer vision, sensor integration, machine learning, and pediatric monitoring technologies, typically holding a master's degree in electrical engineering, computer science, or related field with 3-5 years of experience in medical/infant monitoring systems

Obviousness Rationale

A person having ordinary skill in the art would recognize that integrating machine learning algorithms with existing multi-camera video monitoring systems represents a predictable technological improvement. The source patent's foundational work in multi-camera infant monitoring provides a clear technical framework that would naturally motivate a skilled practitioner to enhance detection capabilities through advanced machine learning techniques. The PTD's variations represent incremental, logical extensions of the existing technological approach.

Obvious Combinations & Variations

Source Patent Element
Motion detection module for tracking baby's position and movement
PTD Variation
Machine learning module for analyzing video and thermal data to detect more complex behavioral patterns
Obviousness Reasoning
Extending motion detection to machine learning analysis is a known technique for improving pattern recognition, representing a predictable technological progression using standard machine learning approaches
Source Patent Element
Thermographic video camera aligned with CMOS camera
PTD Variation
Cloud-based server and mobile application for comprehensive data analysis and trend identification
Obviousness Reasoning
Integrating remote data processing with existing multi-sensor systems is a standard design choice in modern IoT and monitoring technologies, providing a predictable enhancement to existing monitoring capabilities
Source Patent Element
Suffocation detection module using video analytics
PTD Variation
Advanced machine learning algorithms for predicting sleep quality and generating comprehensive health insights
Obviousness Reasoning
Expanding existing detection algorithms to provide more nuanced health insights is an obvious technological progression using standard machine learning techniques and existing sensor data
Source Patent Element
Single camera monitoring configuration
PTD Variation
Multiple cameras mounted in different locations to provide comprehensive monitoring
Obviousness Reasoning
Expanding monitoring coverage through multiple camera configurations is a standard design approach in surveillance and monitoring systems, representing a predictable solution to improve observation capabilities
Source Patent Element
Basic video and thermal imaging for infant monitoring
PTD Variation
Comprehensive machine learning-driven analysis of infant health parameters
Obviousness Reasoning
Applying advanced computational techniques to existing sensor data represents a known method of improving monitoring accuracy and extracting more sophisticated insights
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857311 and the published technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious, as they represent predictable technological improvements using standard machine learning and sensor integration techniques. The disclosed innovations constitute prima facie obviousness under 35 U.S.C. ยง 103, rendering potential patent claims in this domain anticipated and unpatentable.

Original Patent Information

Patent NumberUS 11,857,311
TitleMulti-purpose video monitoring camera