Next-Generation Predictive Analytics Video Monitoring Camera

Publication ID: 24-11857311_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Predictive Analytics Video Monitoring Camera,” Published Technical Disclosure No. 24-11857311_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857311_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. 11,857,311.

Summary of the Inventive Concept

A video monitoring camera system that utilizes machine learning and advanced sensor technology to predict potential health risks of a monitored subject, providing real-time feedback and alerts to caregivers.

Background and Problem Solved

The original 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 leveraging advanced machine learning algorithms, high-resolution sensors, and cloud-based infrastructure to provide more accurate and proactive health monitoring.

Detailed Description of the Inventive Concept

The next-generation predictive analytics video monitoring camera system comprises a neural network module that analyzes video data and thermographic data to predict potential health risks of a monitored subject. The system also includes a high-resolution CMOS video camera, a thermographic video camera with a resolution of at least 128x128 pixels, and a microprocessor configured to detect and track the monitored subject's vital signs. The system can be integrated with a cloud-based server and a mobile application, enabling caregivers to access real-time monitoring data and receive alerts and notifications.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in video monitoring cameras by incorporating machine learning and predictive analytics to provide proactive health monitoring. The use of high-resolution sensors, cloud-based infrastructure, and mobile applications enables real-time feedback and alerts, making the system more accurate and effective than the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different sensor technologies, such as infrared or acoustic sensors, or the integration of additional features, such as environmental monitoring or audio analytics. Variations of the system could also be designed for specific industries, such as healthcare or childcare.

Potential Commercial Applications and Market

The next-generation predictive analytics video monitoring camera system has significant commercial potential in various industries, including healthcare, childcare, and security. The system's ability to provide proactive health monitoring and real-time feedback makes it an attractive solution for caregivers and healthcare professionals. The market for video monitoring cameras is expected to grow significantly in the coming years, driven by increasing demand for remote monitoring and predictive analytics solutions.

Field of Art

Video monitoring systems with health tracking and analytics, specifically focused on infant monitoring technologies involving computer vision, thermographic imaging, and machine learning-based health risk detection

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in computer vision, sensor technologies, machine learning algorithms, and pediatric monitoring systems, typically holding a graduate degree in electrical engineering, computer science, or biomedical engineering with 3-5 years of experience in medical device development

Obviousness Rationale

A person having ordinary skill in the art would recognize that the PTD represents a predictable extension of the source patent's core technology by incorporating machine learning and cloud-based infrastructure to enhance existing video monitoring capabilities. The fundamental approach of using multi-sensor data for health monitoring remains consistent, with the PTD merely introducing incremental technological improvements that would be obvious to a skilled practitioner. The integration of neural network analysis and mobile application interfaces represents a natural progression of the source patent's video monitoring framework.

Obvious Combinations & Variations

Source Patent Element
Microprocessor with motion detection and suffocation detection modules
PTD Variation
Neural network module for analyzing video and thermographic data to predict health risks
Obviousness Reasoning
Predictable application of machine learning techniques to existing health monitoring algorithms, representing an obvious technological upgrade using known computational methods
Source Patent Element
CMOS and thermographic video cameras aligned for baby monitoring
PTD Variation
High-resolution sensors with cloud-based data storage and mobile application integration
Obviousness Reasoning
Logical technological progression using standard IoT and cloud computing techniques to enhance data collection and remote monitoring capabilities
Source Patent Element
Hot air exhalation and chest movement detection modules
PTD Variation
Machine learning module configured to learn subject's normal vital signs and behavior patterns
Obviousness Reasoning
Obvious extension of existing detection algorithms by incorporating adaptive machine learning techniques to improve accuracy and personalization
Source Patent Element
Video analytics for detecting baby's breathing and movement
PTD Variation
Predictive analytics system with real-time anomaly detection and caregiver notifications
Obviousness Reasoning
Natural technological evolution using standard notification and alert systems to improve the utility of existing monitoring technologies
Source Patent Element
Microprocessor-based suffocation and motion detection
PTD Variation
Multi-sensor system with personalized health risk prediction using machine learning
Obviousness Reasoning
Obvious combination of existing sensor technologies with advanced computational techniques to enhance monitoring capabilities
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857311 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The published technical disclosure demonstrates that the proposed monitoring system represents a predictable combination of known technologies, utilizing standard machine learning, sensor integration, and mobile computing techniques to extend existing video monitoring methodologies.

Original Patent Information

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