Augmented Reality Shopping List Management via Computer Vision
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Solution Overview
Problem
Consumers face challenges in managing shopping lists while navigating large retail stores, as traditional methods require manual handling and can be cumbersome, especially in crowded environments.
Innovation Solution
A shopping list management system that utilizes an augmented reality device to automatically update a shopping list by transmitting signals indicating item placement into a shopping container, allowing hands-free operation and noise-free management through a head mountable unit with cameras, sensors, and a commerce server that processes video and position data to confirm item placement and modify the list accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consumers manually manage shopping lists while navigating stores, then they can track items to purchase, but the experience becomes cumbersome and stressful especially in crowded environments
Solution Approach 1:
The system enables self-service by having the shopping list automatically update itself through computer vision. When consumers pick up items, the system detects this action and automatically modifies the shopping list without requiring manual intervention, thus eliminating the need for consumers to physically manage the list while shopping
Solution Approach 2:
The patent replaces the mechanical system of manual list management with an automated optical recognition system. Instead of consumers physically writing or typing items on a list, the system uses cameras and image processing to detect item pickup and automatically updates the digital shopping list, substituting mechanical manual operations with automated optical detection
2Ease of operation
If consumers use voice commands to manage shopping lists, then hands-free operation is achieved, but noise in crowded stores interferes with command accuracy
Solution Approach 1:
The patent substitutes the acoustic field-based voice command system with an optical field-based computer vision system. Instead of using voice commands that are susceptible to noise interference, the system uses cameras to visually detect item pickup actions, providing hands-free operation that is immune to acoustic interference from crowded environments
Solution Approach 2:
The system introduces an intermediary - the computer vision system - that translates physical item pickup actions into digital list updates. This intermediary layer bypasses the problematic voice command interface entirely, using visual detection as the mediator between consumer action and system response, thereby eliminating noise interference issues
3Ease of operation
If consumers hold shopping lists and writing instruments while shopping, then they can manually update the list, but it becomes difficult to maintain both items in-hand
Solution Approach 1:
The shopping list system performs self-service by automatically detecting item pickup through computer vision and updating itself without requiring consumer attention or manual input. This eliminates the need for consumers to simultaneously hold and update physical lists, reducing cognitive load and distraction
Solution Approach 2:
The system implements real-time feedback by continuously monitoring item pickup actions through computer vision and immediately updating the shopping list accordingly. This automatic feedback loop eliminates the need for consumers to manually track and update items, reducing the cognitive burden of maintaining the list while shopping
Data Source
AI summary
A computer-implemented method is disclosed herein. The method includes the step of receiving, with a processing device of a commerce server, one or more shopping list signals from an electronic computing device to establish a shopping list of a plurality of items offered for sale in a retail store. The method also includes the step of receiving, with the processing device, one or more signals from an augmented reality device worn by a consumer as the consumer shops in the retail store. The method also includes the step of determining, with the processing device, that an item from the shopping list has been placed in a shopping container from the one or more signals received from the augmented reality device. The method also includes the step of modifying, with the processing device, the shopping list in response to said determining step.