Intelligent Cooking System with AI-Powered Food Recognition and Cloud-Based Cooking Database
Legal Citation
Summary of the Inventive Concept
This invention integrates a cooking device with AI-powered food recognition and a cloud-based cooking database to optimize cooking parameters based on food type, cooking history, and real-time environmental conditions, ensuring perfectly cooked meals while reducing energy consumption and cooking time.
Background and Problem Solved
The original patent addressed the limitations of traditional cooking methods by predicting food core temperature. However, it lacked the ability to recognize food types, adapt to changing environmental conditions, and ensure food safety. This inventive concept solves these problems by introducing AI-powered food recognition, cloud-based cooking database, and blockchain-based food safety tracking, creating a more powerful and efficient cooking system.
Detailed Description of the Inventive Concept
The intelligent cooking system comprises a cooking device, an AI-powered food recognition module, and a cloud-based cooking database. The AI-powered food recognition module is trained on a dataset of food images and corresponding cooking parameters, enabling it to recognize food types and provide cooking recommendations. The cloud-based cooking database stores optimized cooking parameters based on food type, cooking history, and real-time environmental conditions. The cooking device communicates with the AI-powered food recognition module and the cloud-based cooking database to optimize cooking parameters, ensuring perfectly cooked meals. Additionally, the system may include a blockchain-based food safety tracking module to track food origin, storage, and cooking history, providing real-time food safety alerts to users.
Novelty and Inventive Step
The integration of AI-powered food recognition, cloud-based cooking database, and blockchain-based food safety tracking with a cooking device is novel and non-obvious compared to the original patent. The inventive step lies in the synergistic combination of these distinct technologies to create a more powerful and efficient cooking system.
Alternative Embodiments and Variations
Alternative embodiments may include using different types of sensors, such as computer vision or spectroscopy, for food recognition. Variations may include integrating the cooking system with other smart home devices or using different blockchain protocols for food safety tracking.
Potential Commercial Applications and Market
The intelligent cooking system has significant commercial potential in the smart home and IoT industries, targeting consumers seeking convenient, efficient, and safe cooking solutions. The system may also be integrated into commercial kitchens, restaurants, and food processing industries, providing a competitive edge in terms of food quality, safety, and efficiency.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A47 | A47J37/1266 |
| A | A47 | A47J36/32 |
| F | F24 | F24C7/085 |
| G | G05 | G05D23/1917 |
| G | G05 | G05D23/1928 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Culinary technology and intelligent cooking systems, involving thermal processing, sensor integration, and adaptive cooking control mechanisms, with expertise in temperature monitoring, food recognition, and automated cooking parameter optimization
Person of Ordinary Skill (PHOSITA) Profile
A professional with advanced engineering or culinary technology background, possessing knowledge of thermal processing, sensor technologies, machine learning, and computational cooking techniques, capable of integrating multiple technological domains
Obviousness Rationale
A PHOSITA would recognize that extending the source patent's temperature and mass sensing cooking device with AI-powered food recognition and cloud-based parameter optimization represents a predictable technological progression. The fundamental cooking control methodology remains consistent, with the PTD introducing incremental technological enhancements that leverage existing sensor and computational frameworks. The integration of machine learning and cloud databases represents a natural evolution of intelligent cooking system design, utilizing known techniques to enhance the core temperature-based cooking methodology.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,111 |
|---|---|
| Title | Cooking device and method of cooking food item based on predicting food core temperature |
| Assignee(s) | Koninklijke Philips N.V. |