COOKING APPLIANCE CONTROL METHOD USING ARTIFICIAL INTELLIGENCE AND SYSTEM THEREOF

Smart overview of the Invention

The patent application describes a method and system for controlling cooking appliances using artificial intelligence (AI). It involves capturing an image of a food product, recognizing the product using vision recognition, and retrieving a suitable recipe. The system then generates a cooking command for a registered cooking appliance and controls the appliance accordingly. This approach aims to enhance user convenience by automating the cooking process.

Technical Background

AI technologies have been increasingly integrated into home appliances, including cooking devices. Traditional cooking methods often rely on user input, which can lead to suboptimal cooking processes due to a lack of knowledge about specific cooking commands. The rise of home meal replacements (HMR) has increased the demand for convenient cooking solutions. This invention addresses these challenges by leveraging AI to streamline the cooking process.

Technical Solution

The method involves several key steps: capturing an image of the food, recognizing the product using AI, retrieving an appropriate recipe, and generating a cooking command for a connected appliance. The system can adjust cooking parameters based on storage conditions, such as increasing time or temperature for frozen items. It also supports multiple appliances and provides alternative instructions if the required appliance is unavailable.

System Architecture

The system comprises user equipment that captures the image and a server that processes the image to obtain product information. The server retrieves a recipe and generates a cooking command, which is sent back to the user equipment to control the appliance. The user can modify commands through an interface, and the system can learn and adapt to user preferences over time, enhancing personalized cooking experiences.

Benefits

This AI-driven approach simplifies cooking by automating the appliance control process, reducing the need for users to manually interpret cooking instructions. It enhances user experience by adapting to individual cooking habits and providing alternative methods when necessary appliances are unavailable. The system's ability to learn user preferences further personalizes the cooking process, offering a tailored and efficient cooking solution.