Intelligent Fruit Peeling System

Publication ID: 24-11857099_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Fruit Peeling System,” Published Technical Disclosure No. 24-11857099_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857099_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. 11,857,099.

Summary of the Inventive Concept

An advanced fruit peeling system that leverages machine learning, computer vision, and modular design to ensure high-quality peeling outcomes across diverse fruit types, while minimizing downtime and optimizing performance.

Background and Problem Solved

The original fruit peeler patent, while effective for its time, has limitations in terms of adaptability, efficiency, and quality. The new inventive concept addresses these limitations by introducing advanced technologies that enable real-time optimization, automated defect detection, and modular customization.

Detailed Description of the Inventive Concept

The Intelligent Fruit Peeling System comprises a self-adjusting planing blade that dynamically adapts to varying fruit curvatures, ensuring uniform peeling quality. The system utilizes machine learning algorithms to analyze fruit shape, size, and texture, predicting optimal peeling parameters. The modular design features interchangeable peeling modules, each optimized for specific fruit types, and a central control unit that automatically detects and configures the peeling module for optimal performance. Advanced computer vision enables the system to detect and respond to fruit defects, ensuring high-quality peeling outcomes. The network-connected system allows for remote monitoring, real-time performance optimization, and software updates, minimizing downtime and ensuring peak performance.

Novelty and Inventive Step

The new claims introduce a paradigm shift in fruit peeling technology, leveraging advanced technologies to overcome the limitations of the original patent. The inventive step lies in the integration of machine learning, computer vision, and modular design to create a highly adaptable and efficient fruit peeling system.

Alternative Embodiments and Variations

Alternative embodiments may include variations in the modular design, such as using different materials or configurations for the peeling modules. Other variations may involve integrating additional sensors or data sources to further enhance the system's predictive capabilities. The inventive concept could also be applied to other food processing applications, such as vegetable peeling or meat cutting.

Potential Commercial Applications and Market

The Intelligent Fruit Peeling System has significant commercial potential in the food processing industry, particularly in the fresh produce and fruit processing sectors. The system's ability to optimize performance, minimize downtime, and ensure high-quality peeling outcomes makes it an attractive solution for companies seeking to improve efficiency and reduce costs.

CPC Classifications

SectionClassGroup
A A47 A47J17/02
B B26 B26D3/283
B B26 B26D2003/287
B B26 B26D2210/02

Field of Art

Food processing equipment, specifically fruit peeling technologies, involving mechanical design, precision cutting mechanisms, and adaptive processing systems. Requires engineering expertise in mechanical design, materials science, and precision manufacturing

Person of Ordinary Skill (PHOSITA) Profile

A mechanical engineer with expertise in food processing equipment design, familiar with precision cutting mechanisms, modular tool design, and basic machine learning/computer vision integration techniques

Obviousness Rationale

A person of ordinary skill would recognize that integrating machine learning and computer vision into the existing fruit peeler design represents a predictable technological evolution. The source patent's modular rotating blade mechanism provides a natural foundation for adaptive sensing and intelligent control. The technical variations represent incremental improvements using standard engineering approaches to enhance existing mechanical fruit processing technologies.

Obvious Combinations & Variations

Source Patent Element
Rotating blade mechanism with adjustable positioning
PTD Variation
Self-adjusting planing blade dynamically adapting to fruit curvatures
Obviousness Reasoning
Extending the existing rotational design to incorporate adaptive positioning is a straightforward engineering modification using known sensor and actuator technologies
Source Patent Element
Modular fruit peeler with interchangeable components
PTD Variation
Interchangeable peeling modules with machine learning-based configuration
Obviousness Reasoning
Adding intelligent module detection and configuration represents a predictable application of existing control system design principles
Source Patent Element
Fixed arm with rotational capabilities
PTD Variation
Computer vision system detecting fruit defects and adjusting peeling parameters
Obviousness Reasoning
Integrating sensing capabilities into an existing mechanical design is a standard approach to enhancing tool performance using known machine vision techniques
Source Patent Element
Rotating connecting members between peeler components
PTD Variation
Network-connected system enabling remote monitoring and software updates
Obviousness Reasoning
Adding network connectivity to mechanical systems is a common engineering approach to enable remote diagnostics and performance optimization
Source Patent Element
Mechanical fruit peeling mechanism
PTD Variation
Machine learning algorithms predicting optimal peeling parameters
Obviousness Reasoning
Applying predictive analytics to improve mechanical process control represents a straightforward technological enhancement using standard data analysis techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857099 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed innovations obvious. The published technical disclosure demonstrates that the integration of machine learning, computer vision, and modular design represents predictable technological extensions of existing fruit peeling mechanisms, thereby rendering potential patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,099
TitleFruit peeler