Resolving events in item-identifying carts
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Solution Overview
Problem
The process of retrieving items from shelves in materials handling facilities and transitioning them into bags or carriers for transportation is inefficient, requiring a two-step process that slows down the retrieval process and mitigates the advantages of using carts.
Innovation Solution
The introduction of item-identifying carts equipped with cameras and weight sensors that automatically identify items placed in or removed from the cart, determine the actions taken with these items, and update a virtual cart, allowing for seamless checkout without the need for manual scanning at a checkout stand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual item scanning and checkout processes are used, then accuracy of item registration is improved, but shopping process time increases
Solution Approach 1:
The patent replaces manual mechanical scanning operations with an automated optical imaging system. Cameras capture images of items in the cart, and image processing algorithms automatically identify and register items, eliminating the need for manual scanning while maintaining registration accuracy.
Solution Approach 2:
The system enables self-service checkout by automatically detecting items in the cart through image recognition and weight sensing. The cart itself performs the identification and registration functions that traditionally required human operators at checkout stands, allowing customers to complete purchases without waiting in line.
2Measurement precision
If traditional two-step item retrieval process is used (place in cart, then scan at checkout), then item identification accuracy is improved, but operational efficiency deteriorates
Solution Approach 1:
The system performs item identification and registration actions preliminarily, while items are being placed in the cart during the shopping process itself. The camera and weight sensor continuously monitor the cart, automatically registering items as they are added, so that identification is completed before the customer reaches the checkout point.
Solution Approach 2:
The item identification process runs continuously throughout the shopping experience rather than being interrupted for separate scanning steps. The system maintains continuous monitoring of the cart contents, allowing customers to shop at normal pace without pausing for manual scanning or checkout procedures.
3Speed
If automated item identification systems are implemented, then checkout speed is improved, but system complexity increases
Solution Approach 1:
The cart serves multiple functions: it acts as both a transportation device for items and as an automated identification system. The camera, weight sensor, and processing unit are integrated into the cart structure, allowing a single device to perform both traditional cart functions and automated checkout functions.
Solution Approach 2:
The system uses image data as an intermediary to bridge the gap between physical items and digital registration. Rather than requiring direct interaction between customers and complex identification systems, the camera captures images that are then processed by algorithms to identify items, serving as a gentle intermediary that simplifies the overall system interaction.
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
This solution streamlines the shopping process by eliminating the need for manual item scanning, enabling users to efficiently retrieve items, place them directly into bags or carriers, and check out without waiting in line, thereby enhancing the overall efficiency and convenience of the shopping experience.
Implementation Method 1
an imaging device to generate image data representing one or more items
Implementation Method 2
one or more weight sensors to generate weight data
Data Source
AI summary
This disclosure is directed to item-identifying carts that may be utilized by users to automatically identify items that the users place in their carts. In addition, these carts may automatically determine the outcome of respective events that occur with respect to these identified items. For example, the carts may be configured to identify one or more items that are placed into or removed from the cart, and thereafter determine one or more actions taken with respect to the identified items and a quantity of the items involved. For example, after identifying a first item and a second item either placed into or removed from the cart, the cart may determine that the user added two instances of the first item and removed one instance of the second item. In response to making this determination, the cart may update a virtual cart of a user operating the physical cart.