AI-Controlled Oven Cooking Using Image Recognition for Burn Prevention
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Solution Overview
Problem
Users face difficulties in cooking with ovens, as they may burn or undercook food due to varying ingredients and cooking conditions, and existing systems lack the ability to automatically adjust cooking times and temperatures based on the dish's progress.
Innovation Solution
An AI-controlled cooking method that uses cameras inside the oven to capture images of food, applies these images to a pre-trained neural network model to determine the cooked state, and adjusts cooking parameters such as temperature and time to prevent burning and ensure optimal cooking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a pre-set temperature and time are used for cooking, then the cooking process is simple to operate, but the food may be burnt or undercooked due to varying ingredients and oven conditions
Solution Approach 1:
The system continuously captures images of the food during cooking and compares them with reference images of properly cooked dishes. Based on the comparison results, the system provides feedback by adjusting cooking parameters (temperature, time) or notifying the user to open the door, ensuring the food reaches the desired cooked state without burning or undercooking.
Solution Approach 2:
The AI cooking system automatically monitors the cooking process, determines the cooked state through image recognition, and adjusts cooking parameters without requiring continuous user intervention. The system serves itself by making real-time decisions based on the visual progress of the food.
2Device complexity
If the oven operates at specified temperature and time without monitoring, then the device complexity is low, but the cooking precision and reliability are poor
Solution Approach 1:
The system replaces manual cooking monitoring and parameter adjustment with an automated AI-based image recognition system. The neural network model automatically analyzes food images and determines cooking status, substituting human judgment with machine learning-based precision.
Solution Approach 2:
The system introduces an intermediary AI cooking determination unit that acts as a mediator between the simple oven operation and the desired cooking precision. This unit uses image recognition technology to bridge the gap between basic heating functions and precise cooking control.
3Manufacturing precision
If manual monitoring of cooking progress is required, then the cooking precision can be improved, but the ease of operation decreases and requires continuous user attention
Solution Approach 1:
The system performs self-monitoring by automatically capturing images at intervals and determining cooking progress without requiring the user to continuously check the food. The AI system independently tracks the cooking process and makes necessary adjustments or notifications.
Solution Approach 2:
The system provides automated feedback to the user about the cooking progress and status. Instead of requiring continuous user monitoring, the system actively communicates the cooking state and notifies the user only when action is needed, such as when the door should be opened.
Data Source
AI summary
A method for controlling cooking based on artificial intelligence and an artificial intelligence device are disclosed. In the method for controlling cooking based on artificial intelligence, it is possible to continuously monitor how food ingredients are progressing by generating reference information including image information of completed dishes using food ingredient image information acquired through a monitoring unit provided in a kitchen appliance (for example, oven) and determining the cooked state of the food ingredients based on the reference information. An artificial intelligence device according to the present disclosure may be linked with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.