Display device and display device control method
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Solution Overview
Problem
Users face inconvenience in finding relevant cooking content based on the food ingredients stored in their refrigerator, as they need to check the ingredients and search for corresponding cooking methods separately.
Innovation Solution
A display device and refrigerator system that includes a camera, communicator, and processor, which captures images of stored ingredients, recognizes them, and transmits this information to a server to retrieve and display relevant cooking content, including recipes and ingredient names, and guides the user on ingredients needing purchase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually check food ingredients and search for cooking content separately, then they can find cooking information, but the process is time-consuming and inconvenient
Solution Approach 1:
The refrigerator automatically captures images of stored ingredients using an integrated camera, performs recognition to identify the ingredients, and retrieves relevant cooking content without user intervention. This self-service approach eliminates the manual checking and searching process, directly resolving the contradiction between ease of operation and time consumption.
Solution Approach 2:
The system merges the ingredient storage function with the cooking content provision function by integrating a camera, recognition system, and content retrieval mechanism within the refrigerator. This combination allows the refrigerator to automatically provide relevant cooking content based on stored ingredients, eliminating the need for separate manual operations and reducing time loss.
2Adaptability or versatility
If the system integrates camera, recognition, and content retrieval functions in the refrigerator, then cooking content relevance is improved, but device complexity increases
Solution Approach 1:
The refrigerator is designed with multi-functionality, serving both as a food storage device and an intelligent cooking content provision system. By integrating a camera for ingredient capture, a recognition system for ingredient identification, and a content retrieval mechanism, the refrigerator becomes a universal device that handles both storage and information provision, improving adaptability while managing complexity through functional integration.
3Ease of operation
If the system automatically provides cooking content based on recognized ingredients, then user convenience is improved, but information accuracy requirements increase
Solution Approach 1:
The system employs feedback mechanisms where the recognition result is verified against the retrieved cooking content. If the recognized ingredients do not match the required ingredients for the suggested recipes, the system can adjust or refine the recognition process. This feedback loop ensures high information accuracy is maintained while enabling automatic content provision, resolving the contradiction between automation and precision requirements.
Data Source
AI summary
A display device is disclosed. The disclosed display device comprises a display, a communication unit, a processor and a memory, wherein the memory stores instructions configured such that the processor: controls the communication unit, thereby allowing a request instruction, for requesting transmission of an image obtained using a camera included in a refrigerator, to be transmitted to the refrigerator when receiving an input for requesting information related to the refrigerator; controls the communication unit, thereby receiving at least one image from the refrigerator through the communication unit in response to the request instruction, obtaining first information related to the names of food ingredients according to recognition of food ingredients included in the at least one image, transmitting to first information to a server, and receiving cooking broadcast content obtained by the server; and controls the display so as to display the cooking broadcast content and the image together, wherein the cooking broadcast content can be obtained by the server using the first information and second information related to cooking information recognized from media content prestored in the server. In addition, at least a portion of the server can use a rule-based model or an artificial intelligence data recognition model learned according to at least one of machine learning, a neural network, or a deep learning algorithm. The rule-based model or the artificial intelligence data recognition model can estimate the cooking broadcast content by using food ingredient information as an input value.