Weight-Based Restaurant Ordering With RFID Plate Identification
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Solution Overview
Problem
Existing food ordering systems in restaurants lack the ability for customers to order precise quantities of food, leading to inconvenience, food waste, and difficulties in managing nutritional information, while also causing errors and delays in order handling.
Innovation Solution
A system utilizing a NoSQL database, IoT devices, and RFID-tagged plates allows customers to order by weight, providing real-time nutritional information and guiding kitchen staff to assemble meals accurately, ensuring adherence to dietary restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If customers order food by predefined portions, then ordering process is simple, but customers cannot control nutritional intake and food waste increases
Solution Approach 1:
The system changes the ordering parameter from fixed portions to variable weight-based portions. Customers can specify exact weights of ingredients they want, and the system calculates pricing and nutritional information dynamically based on these weight parameters, enabling precise control over food consumption and reducing waste.
Solution Approach 2:
The system transitions from static predefined portions to dynamic customizable portions. The ordering interface allows customers to adjust ingredient quantities in real-time, with the system continuously updating pricing, nutritional content, and availability based on the dynamic selections made by the customer.
2Measurement precision
If customers order by weight, then nutritional control is improved, but ordering system complexity increases
Solution Approach 1:
The system implements self-service functionality where customers independently configure their own meals by selecting ingredients and specifying weights. The system automatically handles the complex calculations for pricing, nutritional information, and order assembly, freeing customers from dealing with system complexity while maintaining precise measurement control.
Solution Approach 2:
The system acts as an intermediary that automatically processes the complex interactions between customer weight selections, ingredient availability, pricing calculations, and nutritional information. This intermediary layer manages the system complexity behind the scenes while presenting a simplified interface to customers.
3Productivity
If meals are pre-assembled, then kitchen efficiency is improved, but order accuracy and customization are reduced
Solution Approach 1:
The system performs preliminary actions by pre-calculating and preparing ingredient lists, weights, and assembly instructions before the actual meal preparation. The kitchen receives detailed specifications for each order in advance, allowing staff to efficiently gather and prepare exact ingredient quantities without compromising accuracy.
Solution Approach 2:
The system segments the meal assembly process into discrete ingredient components with specified weights. Rather than treating meals as fixed units, the system breaks them down into individual ingredients that can be precisely measured and assembled, enabling both customization and accuracy in the final product.
4Ease of manufacture
If fixed menu items are offered, then menu management is simple, but adaptability to dietary needs is limited
Solution Approach 1:
The system creates a universal ordering framework that can accommodate multiple dietary requirements and customization needs through a single interface. The same weight-based selection mechanism serves various dietary goals (weight loss, muscle gain, specific nutrient targets), making the menu system multi-functional and highly adaptable without requiring separate management systems.
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
Enables personalized meal assembly, reduces food waste, minimizes order errors, and optimizes kitchen operations by ensuring accurate and timely delivery of meals tailored to individual nutritional needs.
Implementation Method 1
a plate with an RFID device embedded in its bottom
Data Source
AI summary
The present invention introduces a restaurant automation system that includes food ordering devices (1) and small IoT devices (30) for streamlined operations. Customers can use the device (1) to not only select food based on price but also specify the desired weight. Prior to ordering, customers can view allergen information, calorie/nutrient values, and dynamic colored graphs indicating whether the chosen foods align with their nutritional requirements. Each food item served on the customer's plate (41) is meticulously identified and classified, providing detailed information such as weight, ingredients, allergens, nutrients, expiration date, and origin. Orders are scheduled and processed through the device (1), allowing customers to create custom dishes according to their preferences. Custom Food Orders (OP) are recorded in the restaurant database, with food delivery services coordinated by the IoT device (30) located in the kitchen. This device guides employees in assembling the ordered food.