Item-Identifying Cart With Corner Cameras for Checkout-Free Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The traditional process of retrieving items from shelves and placing them into bags or carriers for transportation is a two-step process, which slows down the overall retrieval process and mitigates the advantages provided by carts.
Innovation Solution
An item-identifying cart equipped with cameras, LEDs, and proximity sensors that automatically detect and identify items placed in or removed from the cart, updating a virtual shopping cart without the need for manual scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual item scanning and registration is performed at checkout, then item identification accuracy is ensured, but checkout process time increases
Solution Approach 1:
The system performs item identification and registration in advance during the shopping process. Cameras mounted on the cart continuously capture images of items as they are placed in or removed from the cart, and the processor identifies and registers these items in real-time. This preliminary action eliminates the need for manual scanning at checkout, thereby reducing checkout time while maintaining identification accuracy.
Solution Approach 2:
The patent replaces the manual mechanical scanning process with an automated optical system. Cameras capture images of items, and image processing algorithms automatically identify and register the items. This substitution of mechanical manual scanning with automated optical and computational systems eliminates the time-consuming manual operations at checkout while preserving accurate item identification.
2Stability of the object's composition
If traditional two-step process (retrieve items to cart, then remove and bag) is used, then item organization is maintained, but retrieval process efficiency decreases
Solution Approach 1:
The cart system performs automatic item identification and registration without requiring user intervention. The cameras and processor automatically detect, identify, and register items as they are placed in or removed from the cart, eliminating the need for manual scanning operations. This self-service automation maintains item organization while significantly improving retrieval process efficiency by eliminating redundant manual steps.
3Measurement precision
If manual item scanning is performed, then item registration accuracy is ensured, but user effort and operation complexity increase
Solution Approach 1:
The cart system automatically performs item identification and registration without requiring user actions. The cameras continuously monitor the cart contents, the processor identifies items based on captured images, and the system automatically updates the virtual cart. This eliminates manual scanning operations, reducing user effort to zero while maintaining accurate item registration through automated image processing and recognition algorithms.
4Loss of time
If automated item identification system is implemented, then checkout process time is reduced, but device complexity increases
Solution Approach 1:
The cart system integrates multiple functions into a single unified platform. The cameras serve both for navigation and item identification, the processor handles both cart control and image analysis, and the same hardware suite supports multiple operations throughout the shopping process. This multi-functionality reduces the need for separate dedicated systems, thereby managing device complexity while achieving automated item identification and reduced checkout times.
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 a seamless checkout experience by eliminating the need for manual item registration, allowing users to efficiently end their shopping session and depart the facility without traditional checkout procedures.
Implementation Method 1
The cart includes a proximity sensor configured to detect a presence of an item near the cart
Implementation Method 2
a camera configured to generate image data representing the item
Data Source
AI summary
This disclosure is directed to an item-identifying cart that may be utilized by a user in a materials handling facility to automatically identify items that the user places in their cart, and update a virtual shopping cart to include items taken by the user. The mobile cart may include four capture assemblies that are disposed proximate to each of the four corners of a basket of the cart, and oriented such that their respective optical axes are directed towards an interior of a perimeter of the top of the basket, and above the top of the basket. The capture assemblies may include proximity sensors that are used to detect movement above the top of the basket, LEDs that illuminate items, and cameras that generate image data representing the items as they are placed in, or removed from, the cart.