Published Technical Disclosure Archive

Advanced Stuffed Food Production Method

Publication ID: 24-11856958_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Stuffed Food Production Method,” Published Technical Disclosure No. 24-11856958_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856958_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. 11,856,958.

Background and Problem Solved

The original patent, 'Method for forming stuffed food,' provided a foundational approach to stuffed food production. However, it had limitations in terms of adaptability, scalability, and product customization. The present invention addresses these limitations by introducing a paradigm shift in stuffed food production, enabling the creation of complex, high-quality products with unprecedented efficiency.

Novelty and Inventive Step

The new invention's novelty lies in its integration of AI, robotics, and modular design to create a highly adaptable and efficient stuffed food production system. The inventive step is the synergistic combination of these components, which enables the creation of complex, customized products with unprecedented quality and efficiency.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different AI algorithms, various robotic configurations, or alternative modular designs. Additionally, the system could be adapted for use in other food production applications, such as bread or pastry production.

Potential Commercial Applications and Market

The next-generation stuffed food production system has significant commercial potential in the food manufacturing industry, particularly in the areas of customized and specialty food products. The system's ability to produce high-quality products efficiently and adapt to changing consumer preferences makes it an attractive solution for food manufacturers seeking to stay competitive in the market.

CPC Classifications

SectionClassGroup
A A21 A21C9/063
A A21 A21C5/00
A A21 A21C9/085
A A21 A21C11/10
A A21 A21D13/31
B B65 B65G29/00

Field of Art

Food processing technology, specifically automated food production systems with a focus on stuffed food manufacturing, involving mechanical engineering, robotics, and food processing equipment design

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in food manufacturing automation, mechanical engineering, and robotic food processing systems, familiar with CNC machinery, precision food handling, and modular production line design

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's AI-driven and modular food production approach represents a predictable technological evolution of the source patent's mechanical food wrapper formation method. The integration of machine learning, robotics, and modular design are natural extensions of existing food processing automation technologies. The core technical problem of efficient stuffed food production remains consistent, with the PTD offering incremental improvements in precision, adaptability, and customization.

Obvious Combinations & Variations

Source Patent Element
Rotation disc with shaping molds for dough wrapper cutting and forming
PTD Variation
3D food printing system for creating complex dough wrapper shapes
Obviousness Reasoning
A PHOSITA would recognize that advanced 3D printing represents a predictable technological progression from traditional mechanical shaping methods, offering greater geometric complexity and customization
Source Patent Element
Mechanical pressing and rotating molds for food wrapper formation
PTD Variation
Robotic dough wrapper handling unit with adaptive sizing capabilities
Obviousness Reasoning
Replacing mechanical molds with robotic systems is a known technique in manufacturing, representing an obvious design choice for improving flexibility and precision
Source Patent Element
Dough wrapper cutting and forming process
PTD Variation
Machine learning model for generating optimized cutting patterns
Obviousness Reasoning
Applying machine learning to optimize manufacturing processes is a well-established approach, representing an obvious application of known AI techniques to existing mechanical processes
Source Patent Element
Food production method with sequential processing steps
PTD Variation
Modular production line with interchangeable component modules
Obviousness Reasoning
Modular design is a standard engineering approach for improving system flexibility, representing a predictable evolution of existing manufacturing methodologies
Source Patent Element
Mechanical food processing method
PTD Variation
Real-time quality control system using computer vision and AI
Obviousness Reasoning
Integrating computer vision and AI for quality control is a known technique in manufacturing, representing an obvious technological enhancement to existing processing methods
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856958 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed innovations obvious and therefore unpatentable. The proposed system represents a predictable combination of known techniques in food processing automation, machine learning, and robotic manufacturing, lacking the requisite non-obviousness for patent protection.

Original Patent Information

Patent NumberUS 11,856,958
TitleMethod for forming stuffed food
Assignee(s)SHANGHAI SOONTRUE MACHINERY EQUIPMENT CO., LTD.