AI Range Hood Camera Framing for Cooking Content Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing range hoods do not allow users to easily capture and share cooking content, such as recipe pictures and videos, while cooking.
Innovation Solution
An artificial intelligence range hood equipped with a camera that photographs the cooking process on a top plate of a cooktop based on user input, and a processor that recognizes cooking zones, vessels, and food to provide various camera UX/UI and adjust photographing conditions automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a camera is added to photograph cooking content, then users can capture and share cooking pictures and videos, but the device complexity increases
Solution Approach 1:
The patent combines the camera function with the existing range hood structure, integrating the photographing capability into the range hood body. The camera is positioned to photograph the cooking area, merging two functions (cooking ventilation and content capture) into a single device, thereby reducing overall system complexity while adding versatility.
Solution Approach 2:
The range hood is transformed into a multi-functional device that not only performs its traditional smoke extraction function but also captures cooking content, provides recipe suggestions, and enables social sharing. This universal approach allows one device to serve multiple purposes, adding adaptability without proportionally increasing complexity.
2Measurement precision
If object recognition model is used to automatically adjust photographing conditions, then photographing quality improves, but processing time and computational resources increase
Solution Approach 1:
The system pre-processes and analyzes video frames continuously in the background, preparing object recognition data before user interaction is needed. By performing preliminary analysis of the cooking scene, the system has recognition information ready when users want to capture content, reducing perceived processing time while maintaining high accuracy.
Solution Approach 2:
The patent replaces manual adjustment of photographing parameters with automated AI-based object recognition. The system automatically identifies cooking vessels, ingredients, and cooking actions, then adjusts camera settings and selects capture moments based on this recognition, substituting mechanical/manual control with intelligent automation that improves precision while optimizing processing efficiency.
3Measurement precision
If manual selection of photographing moments is required, then photographing precision improves, but user operation complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting optimal photographing moments based on object recognition results. When the camera detects a significant cooking action or a well-composed scene involving cooking vessels and ingredients, it automatically triggers the capture without requiring user intervention. This maintains high photographing precision while dramatically simplifying user operation.
Solution Approach 2:
The system continuously monitors the cooking scene and provides feedback through the display screen, showing users detected objects and potential capture moments. This feedback mechanism allows the system to maintain high precision by analyzing scene content while keeping operations simple, as users can review automatically selected moments before confirmation or make minor adjustments if desired.
Data Source
AI summary
An artificial intelligence range hood including a main body; a camera disposed at a lower end of the main body and configured to capture an image of a cooktop located under the main body; a display located on a front surface of the main body; a memory storing an object recognition model; and a processor configured to control the camera to capture the image of the cooktop, generate object recognition information for recognizing cooking objects included the captured image of the cooktop using the object recognition model stored in the memory, set a user region of interest of the captured image corresponding to a recognized cooking object designated by the generated object information, control an operation of the camera to photograph the user region of interest of the captured image, and control the display to display the photographed user region of interest of the captured image.