Mobile Shopping Unit Automated Checkout via Sensor Fusion
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Solution Overview
Problem
Conventional checkout methods in stores are inefficient, leading to long wait times and increased costs due to the need for multiple cashiers, and automated POS systems can still cause congestion and are difficult for customers to use.
Innovation Solution
An automated checkout system equipped with a mobile shopping unit that includes sensors and cameras to detect changes in a shopping cart's contents, using machine-learned item identification models to update a contents list without direct user interaction, allowing for quick and efficient checkout without additional staff.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If more cashiers are hired to parallelize the checkout process, then customer wait time is reduced, but store cost increases
Solution Approach 1:
The shopping cart performs self-service by automatically detecting item additions/removals through integrated sensors and cameras, maintaining its own contents list without requiring cashier intervention. This eliminates the need for additional human resources while enabling continuous checkout tracking.
Solution Approach 2:
The patent replaces the mechanical manual scanning process with an automated electronic system using sensors, cameras, and image processing algorithms to detect and identify items, eliminating the need for physical barcode scanning by cashiers and reducing labor requirements.
2Quantity of substance
If automated POS systems are used, then cashier cost is eliminated, but user interface complexity increases
Solution Approach 1:
The shopping cart autonomously manages the checkout process by automatically detecting item changes, maintaining its own inventory list, and communicating with the POS system without requiring customer interaction with complex interfaces. The system serves itself throughout the shopping and checkout process.
Solution Approach 2:
Instead of requiring the customer to operate a complex automated POS system, the system is inverted so that the shopping cart automatically performs the checkout functions through its integrated sensors and communication capabilities, making the customer experience simpler while maintaining automation benefits.
3Measurement precision
If manual barcode scanning is used, then item identification is accurate, but checkout speed decreases
Solution Approach 1:
The patent replaces the manual mechanical barcode scanning process with an automated optical recognition system using cameras and image processing algorithms that can identify items automatically, maintaining identification accuracy while significantly increasing checkout speed through parallel processing of multiple items.
Solution Approach 2:
The system performs preliminary item identification and list maintenance continuously throughout the shopping process as items are added or removed, so that when checkout time arrives, the complete contents list is already prepared and verified, eliminating the need for slow item-by-item scanning at the checkout counter.
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
Reduces customer wait times, increases store efficiency without hiring more cashiers, and simplifies the checkout process by automatically tracking items, enhancing the customer experience.
Implementation Method 1
the mobile shopping unit may include a load sensor that determines the weight of the contents of the shopping cart and, if the weight of the shopping cart's contents changes, the mobile shopping unit detects a change to the contents of the shopping cart
Implementation Method 2
the mobile shopping unit captures image data of the contents of the shopping cart using one or more cameras mounted to the shopping cart
Implementation Method 3
the mobile shopping unit applies a machine-learned item identification model to the image data received from the cameras to determine the item identifier for the added or removed item
Data Source
AI summary
A mobile shopping unit of an automated checkout system includes one or more sensors within a shopping cart that detect when a change to the contents of the shopping cart has occurred. If the mobile shopping unit detects a change, the mobile shopping unit captures image data of the contents of the shopping cart using one or more cameras mounted to the shopping cart. The mobile shopping unit uses the image data to identify the item added to or removed from the cart. The mobile shopping unit applies a machine-learned item identification model to the image data received from the cameras to determine an item identifier for the added or removed item. When the mobile shopping unit determines the identifier for the added or removed item, the mobile shopping unit updates a contents list associated with the customer that stores the items currently collected by the customer.