Wearable Smart Recipe Generation Through Automatic Cooking Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Preparing consistently good food is challenging due to the cumbersome process of recording every instance and step of food preparation, often resulting in imperfect dishes, and existing devices hinder the cooking process by requiring manual interaction.
Innovation Solution
Mobile computing devices, such as smart glasses and smartphones, automatically capture and process sensor data to identify ingredients, utensils, and user actions, creating a recipe unobtrusively during cooking, using neural networks for recognition and image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual recording methods are used to document cooking steps, then recipe information can be captured, but the process becomes cumbersome and interrupts the cooking flow
Solution Approach 1:
The system automatically captures cooking information without requiring user intervention. Sensors detect ingredients, timers track cooking durations, and cameras record visual steps, allowing the recipe to document itself while the user focuses on cooking
Solution Approach 2:
Manual writing or typing of recipe steps is replaced by automated sensor-based detection and digital recording systems that continuously capture cooking data in the background
2Ease of operation
If conventional devices require manual interaction for recipe recording, then users can control the recording process, but the devices obstruct the cooking process
Solution Approach 1:
The cooking device autonomously monitors and records all cooking parameters including temperature, time, ingredient additions, and visual changes without requiring the user to stop cooking and interact with the device
Solution Approach 2:
The cooking device integrates multiple functions including cooking, sensing, imaging, and automated recipe documentation into a single system, eliminating the need for separate recording devices that would obstruct the cooking process
3Productivity
If automated sensing is used to detect ingredients and actions, then recipe creation becomes seamless, but device complexity increases
Solution Approach 1:
The automated recipe system is divided into separate functional modules: ingredient detection sensors, action recognition algorithms, timing mechanisms, and data synthesis components, allowing each to be optimized independently and reducing overall system complexity
Data Source
AI summary
Methods and devices are provided where a wearable device may receive sensor data and activate a recipe building mode of the wearable device when the sensor data satisfies a commencement condition. An image sensor of the wearable device may capture images of a physical environment. A recognition engine of the wearable device may identify ingredients detected in the images, determine an amount of the ingredients, identify utensils detected in the images, track actions of a user based on the images, and determine the name of a recipe, in response to terminating the capture of the images. The wearable device may store the recipe, the recipe including the name of the recipe, the ingredients, the amount of ingredients, the utensils, the actions of the user, and the one or more images. The recipe may be annotated with captions and output on a display of the wearable device.