Intelligent Ball Game Racket Frame Characterization System

Publication ID: 24-11857855_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Ball Game Racket Frame Characterization System,” Published Technical Disclosure No. 24-11857855_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857855_0008_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. 11,857,855.

Summary of the Inventive Concept

A novel system that integrates advanced technologies, including IoT, AI, blockchain, and computer vision, to characterize and analyze ball game racket frames, providing real-time feedback and insights to players, coaches, and manufacturers.

Background and Problem Solved

The original patent for characterizing a ball game racket frame relied solely on manual data collection and analysis, limiting its accuracy, efficiency, and applicability. The present inventive concept addresses these limitations by introducing synergistic combinations of distinct technologies to create a more powerful and comprehensive system.

Detailed Description of the Inventive Concept

The system consists of a sensor for capturing racket head contour data, a processor for determining parameters characterizing the racket head shape, and an IoT-based platform for remotely monitoring and analyzing the racket head performance. Additionally, the system can integrate racket head characterization data with AI-powered tennis analytics, utilize blockchain technology for secure data sharing, and incorporate novel racket head material compositions with smart materials. The system also employs computer vision and machine learning to analyze images of the racket head and generate a 3D model of the racket head shape.

Novelty and Inventive Step

The new claims introduce a novel combination of IoT, AI, blockchain, and computer vision technologies, which enables real-time feedback, secure data sharing, and personalized coaching recommendations. These advancements are non-obvious and surpass the original patent's capabilities.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different sensors, such as lidar or ultrasonic sensors, or the integration of additional AI-powered analytics, such as predictive modeling or natural language processing. Variations may also include the application of the system to other sports equipment, such as golf clubs or cricket bats.

Potential Commercial Applications and Market

The Intelligent Ball Game Racket Frame Characterization System has significant commercial potential in the sports industry, particularly in tennis, golf, and cricket. The system can be marketed to professional players, coaches, and manufacturers, as well as to recreational players seeking to improve their game.

CPC Classifications

SectionClassGroup
A A63 A63B60/42
G G06 G06F30/10

Field of Art

Sports equipment design and digital characterization technologies, specifically racket frame analysis and performance measurement systems, involving mechanical engineering, computer vision, and sports analytics

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in sports equipment design, computer-aided measurement techniques, sensor integration, and data analysis technologies, typically holding a bachelor's or master's degree in mechanical engineering, computer science, or related technical disciplines

Obviousness Rationale

A person having ordinary skill in the art would recognize that the PTD's proposed variations represent predictable technological extensions of the source patent's racket head characterization method, utilizing standard engineering techniques to integrate digital technologies with existing measurement approaches. The proposed IoT, AI, and computer vision enhancements represent natural progressions in data collection and analysis methodologies already suggested by the original patent's computational characterization framework. These technological integrations would be considered routine optimization strategies within the field of sports equipment design and performance measurement.

Obvious Combinations & Variations

Source Patent Element
Racket head contour data collection and computational analysis method
PTD Variation
Integration of IoT platform for remote monitoring and AI-powered analytics
Obviousness Reasoning
Extending data collection to networked platforms represents a predictable technological progression, using known sensor and communication technologies to enhance existing measurement techniques
Source Patent Element
Computational characterization of racket head shape parameters
PTD Variation
Computer vision and machine learning for generating 3D racket head models
Obviousness Reasoning
Application of advanced image processing techniques to geometric measurement is a standard engineering approach with well-established computational methods
Source Patent Element
Racket head shape parameter determination
PTD Variation
Blockchain-based secure data storage and sharing mechanism
Obviousness Reasoning
Implementing distributed data management represents a known technique for enhancing data integrity and accessibility in technical measurement systems
Source Patent Element
Racket frame geometric characterization method
PTD Variation
Smart material integration for real-time shape detection and feedback
Obviousness Reasoning
Incorporating responsive materials into measurement systems is a predictable design evolution using established materials science principles
Source Patent Element
Computational analysis of racket head contour
PTD Variation
AI-powered personalized coaching recommendation generation
Obviousness Reasoning
Transforming measurement data into actionable insights represents a standard application of machine learning techniques in performance analysis domains
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857855 and the comprehensive technological extensions disclosed herein, a person having ordinary skill in the art would find the proposed racket characterization system variations obvious and lacking non-obvious inventive merit. The systematic integration of IoT, AI, blockchain, and computer vision technologies represents predictable engineering optimizations that would be readily conceived by a skilled practitioner seeking to enhance existing racket performance measurement methodologies.

Original Patent Information

Patent NumberUS 11,857,855
TitleCharacterization of a ball game racket frame
Assignee(s)Head Technology GmbH