Intelligent Cooking System with AI-Powered Food Recognition and Cloud-Based Cooking Database

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.

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.

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.

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 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.

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.