Intelligent blending system
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Solution Overview
Problem
Blenders and blending systems face challenges in achieving user-specific taste preferences and consistency in blended drinks due to difficulties in measuring and ordering ingredients correctly, particularly in commercial kitchens where employee turnover and product variations complicate the blending process.
Innovation Solution
A blender system with a user device that communicates with a blender base and remote computing device, utilizing sensors and near-field communication to monitor and direct the blending process, including weight measurement and inventory management, to ensure accurate ingredient usage and recipe adherence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users add ingredients without measuring properly or by estimating amounts, then the operation process is simple and fast, but the manufacturing precision of ingredient quantities deteriorates
Solution Approach 1:
The system enables self-service measurement through automated weight sensors and image recognition technology. The blender automatically measures ingredient weights and the system recognizes ingredients through image capture, eliminating the need for manual measurement while maintaining operational simplicity.
Solution Approach 2:
Manual mechanical measurement methods are replaced with electronic weight sensors and optical image recognition systems. The weight sensor automatically detects ingredient mass, and the image capture device identifies ingredient types, substituting human estimation and manual measuring with automated technological systems.
2Manufacturing precision
If commercial kitchens use color-coded measuring scoops and custom-printed instructions to achieve consistency, then the manufacturing precision of ingredient amounts improves, but the device complexity and ease of operation worsen
Solution Approach 1:
The blender system serves multiple functions: it blends ingredients, automatically weighs them using integrated sensors, identifies ingredient types through image recognition, and provides digital instructions. This multi-functional approach replaces multiple separate tools (measuring scoops, printed instructions, timers) with a single integrated system.
Solution Approach 2:
The system introduces a digital intermediary layer between the ingredients and the user. Weight sensors and image capture devices act as intermediaries that automatically collect data about ingredients, while the processor and display serve as intermediaries to interpret and present this information, eliminating the need for direct user interaction with complex measurement tools.
3Manufacturing precision
If commercial kitchens implement automated monitoring and directing of blending processes, then the manufacturing precision and consistency of blended products improve, but the device complexity increases
Solution Approach 1:
The patent merges multiple previously separate functions into a single integrated blender system: ingredient weighing, ingredient identification, blending process control, and recipe management are all combined in one device. This consolidation achieves high manufacturing precision while managing complexity through integration rather than multiplication of separate components.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system ensures precise ingredient measurement and blending consistency by integrating sensors and communication protocols, enhancing user experience and maintaining product quality across varying recipes and kitchen environments.
Implementation Method 1
a weight sensor that operatively measures an amount of at least one ingredient added into the container
Implementation Method 2
at least one sensor operatively capturing an image of at least one ingredient, capturing an image of packaging of the at least one ingredient
Data Source
AI summary
A blending system includes a blender base and a container. The blender base includes a housing that houses a motor. The container is attachable to the blender base. The blending system includes a user device that communicates with the blender base. The user device may communicate with a remote computing device. The user device generates instructions and recipes for the blender base.