AI-Driven Food Vending With On-Demand Meal Cooking
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Solution Overview
Problem
People face limited healthy food options outside of home, especially in situations requiring quick and nutritious meals, such as commuting or during time-sensitive events. Existing vending machines lack context-awareness and fail to consider time-sensitivity and specific user requirements.
Innovation Solution
A food cooking and vending device equipped with a dispensing unit, conveyor belt, and control unit that uses AI to recommend meals based on user input, dispense raw materials, and cook meals on demand, ensuring context-aware and time-sensitive meal preparation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional vending machines are used, then food availability is provided, but food quality and nutritional value deteriorate due to packed unhealthy snacks
Solution Approach 1:
The vending machine is segmented into multiple functional modules: raw material storage compartments, cooking apparatus, conveyor belt system, and serving area. This segmentation allows fresh ingredients to be stored separately from cooking equipment, maintaining food quality while providing variety in meal options.
Solution Approach 2:
The patent replaces conventional mechanical vending mechanisms with an automated cooking system that uses electronic controls, sensors, and programmed cooking cycles. This substitution enables precise control over cooking parameters to maintain food quality and nutritional value while providing hot, fresh meals on demand.
2Ease of operation
If conventional cooking methods are used, then meal preparation is achieved, but time consumption increases and personnel requirements increase
Solution Approach 1:
Raw food materials are pre-stored in the vending machine in ready-to-cook forms (such as pre-cut vegetables, pre-measured proteins, or pre-prepared ingredients). This preliminary preparation eliminates the need for time-consuming ingredient preparation during the cooking process, allowing users to simply select and receive their meal.
Solution Approach 2:
The cooking system operates autonomously once a user selects their desired meal. The control system automatically retrieves required ingredients, adjusts cooking parameters, monitors the cooking process, and serves the prepared meal without requiring dedicated personnel or manual intervention throughout the cooking process.
3Adaptability or versatility
If context-aware AI recommendation system is added, then meal personalization improves, but device complexity increases
Solution Approach 1:
The AI recommendation system is integrated with the existing vending machine infrastructure, serving multiple functions: it analyzes user preferences, determines optimal meal recommendations based on contextual data, controls ingredient selection, and manages cooking parameters. This multi-functionality approach consolidates complexity into a single integrated system rather than adding separate independent modules.
Data Source
AI summary
This disclosure relates to food cooking and vending device and method thereof. The food cooking and vending device includes dispensing unit, conveyor belt, and control unit. The control unit receives a first user input through a User Interface (UI), wherein the first user input comprises non-confidential user details; generates one or more meal recommendations from a plurality of meal options based on the first user input using an Artificial Intelligence (AI) model; renders the one or more meal recommendations and remaining of the plurality of meal options to the UI; receives a second user input through the UI, wherein the second user input comprises a meal selection from the plurality of meal options; and causes the bowl dispensing section to dispense the bowl to the conveyor belt to initiate the meal preparation.