Item-Identifying Cart Cameras with Periodic Power-Saving Detection
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Solution Overview
Problem
The traditional process of retrieving items from shelves and placing them into bags or carriers in materials handling facilities is inefficient, requiring a two-step process that slows down the retrieval process and mitigates the advantages of using carts.
Innovation Solution
An item-identifying cart equipped with cameras and machine-learning models automatically identifies items placed into or removed from the cart, updating a virtual shopping cart, allowing users to skip the checkout process and facilitating seamless item transportation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual item retrieval and bagging process is used, then users can transport items, but the process is slow and requires multiple steps
Solution Approach 1:
The patent combines the item identification, cart tracking, and checkout functions into a single integrated system. The cart itself becomes the identification device through integrated cameras and processors, eliminating the separate manual scanning and bagging steps. This merging of functions directly resolves the contradiction by making the retrieval process single-step and faster.
Solution Approach 2:
The cart performs automatic item identification and tracking without requiring manual intervention for scanning or data entry. The integrated camera system and processor enable the cart to autonomously identify items, track them in a virtual cart, and facilitate automatic checkout, thereby eliminating the time-consuming manual operations and improving retrieval speed.
2Measurement precision
If continuous camera operation is used for item identification, then accurate item tracking is achieved, but power consumption increases
Solution Approach 1:
The camera system operates periodically rather than continuously, activating only when motion is detected or when the cart is stationary for item placement. This periodic operation maintains accurate item identification capability while significantly reducing overall power consumption compared to continuous operation, directly resolving the contradiction between precision and energy use.
Solution Approach 2:
The camera operation mode dynamically adjusts based on detected activity levels. When motion is detected or the cart is stationary, the camera activates for accurate identification; during active movement without item placement, the camera remains inactive to conserve power. This dynamic adjustment resolves the contradiction by adapting the system's operational state to actual needs.
Data Source
AI summary
This disclosure is directed to an item-identifying, mobile cart that may be utilized by a user in a materials handling facility to automatically identify items that the user places into a basket of the cart. The cart may include cameras for detecting activity near a basket of the cart, such as a user placing an item into the basket. The cart or a computing device communicatively coupled to the cart may use a trained machine-learning model to identify the activity, and may improve the accuracy of the model over time using real-world data of users operating carts in respective facilities.