Self-Checkout Weighing Scale Using Distributed Computing
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Solution Overview
Problem
In retail environments, self-checkout machines are inefficient due to their large size, high cost, and inability to recognize personal containers, leading to errors and long queues, especially when customers use reusable containers, which complicates the weighing and payment process.
Innovation Solution
A distributed computing method involving a terminal device, server, and weighing scale that allows users to select and weigh containers, calculate the weight of articles by scanning or inputting a weighing scale identifier code, and process payments electronically, eliminating the need for manual weighing and reducing computational burden on the weighing scale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If self-checkout machines are deployed to replace cashiers, then labor costs are reduced and customer service efficiency is improved, but the machines are large and expensive leading to limited quantity and long queues
Solution Approach 1:
The patent divides the self-checkout function into two parts: a simple weighing scale for weight measurement and a mobile computing device for code scanning and price calculation. This segmentation eliminates the need for large, expensive integrated self-checkout machines while maintaining service efficiency.
Solution Approach 2:
The weighing scale is designed to be a universal device that can handle various containers and products, while the mobile computing device provides flexible processing capabilities. This multi-functionality approach reduces the need for specialized expensive equipment.
2Extent of automation
If self-checkout machines are configured to scan products only, then payment automation is achieved, but personal containers and bags are not recognized causing errors and requiring employee intervention
Solution Approach 1:
The system performs preliminary weighing of the container with the article before any scanning or payment processing. This preliminary action captures the total weight, which is then used to calculate the article weight by subtracting the container weight, eliminating the need for the system to recognize or differentiate between store and personal containers.
Solution Approach 2:
The patent replaces the mechanical/scanning-based identification system with a weight-based measurement system. Instead of using scanners to identify containers (which cannot recognize personal containers), the system uses weighing to determine article weight, which works universally with any container type.
3Object-affected harmful factors
If reusable containers are used to reduce packaging waste, then environmental sustainability is improved, but the weighing and payment process becomes more laborious requiring manual emptying and reweighing
Solution Approach 1:
The system performs preliminary weighing of the empty container and stores this information. When the container is brought back with an article, the system automatically retrieves the stored container weight and subtracts it from the total weight, eliminating the need for manual emptying and reweighing processes.
Solution Approach 2:
Customers can bring their own reusable containers and the system automatically handles the weight calculation by subtracting the pre-stored container weight from the total weight. This self-service approach allows customers to continue using reusable containers without adding operational complexity.
4Measurement precision
If manual weighing and calculation processes are used for reusable containers, then measurement accuracy is maintained, but the process time increases causing queues at the point of sale
Solution Approach 1:
The patent replaces manual weighing and calculation processes with an automated system that uses a weighing scale connected to a mobile computing device. The system automatically performs weight measurements, retrieves container weights from stored data, calculates article weights, and processes payments, maintaining measurement precision while dramatically reducing process time.
Solution Approach 2:
The system implements feedback by automatically storing container weight information and using it in subsequent transactions. This feedback loop eliminates the need for repeated manual measurements and calculations, reducing processing time while maintaining accuracy through consistent use of stored reference data.
Data Source
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AI summary
A terminal device, server, weighing scale, system and method for weighing an article are provided. The system (800) includes the terminal device (802), the server (804) and the weighing scale (806). These components communicate with each other to weigh an article placed on the weighing scale. The method of weighing the article includes receiving, at a terminal device, a selection of a container from a user for storing an article, retrieving a weight of the selected container from a first look-up table, wherein the first look-up table includes a container identifier and an associated container weight for one or more containers; prompting, by the terminal device, the user to place the container storing the article onto a weighing scale, the weighing scale being associated with a weighing scale identifier code; receiving the weighing scale identifier code of the weighing scale, inputted or scanned on the terminal device by the user; retrieving, at the server, the weight measurement value associated with the weighing scale identifier code from a second look- up table, the weight measurement value corresponding to the combined weight of the container and the article; and subsequently calculating the weight of the article from the difference between the weight of the container and the combined weight of container and the article.