Frictionless Store Optical Recognition for Checkout-Free Shopping
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Solution Overview
Problem
Existing shopping experiences in retail stores require interaction with store clerks or self-checkout stations, leading to inefficiencies and friction in the shopping process.
Innovation Solution
A frictionless store system utilizing electronic shelf label (ESL) display devices, optical sensor devices, and network nodes to enable automated item recognition and payment processing, allowing shoppers to browse and exit without manual interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual checkout with store clerks or self-checkout stations is used, then payment processing can be completed, but shopping time and operational efficiency are reduced
Solution Approach 1:
The system enables self-service through automated image recognition and payment processing. Optical sensors automatically detect items taken from shelves, and the system autonomously calculates charges and processes payments without requiring customer interaction with checkout staff or self-checkout machines, thereby eliminating checkout time delays
Solution Approach 2:
The patent replaces the mechanical checkout process (physical interaction with clerks or self-checkout stations) with an automated optical recognition and electronic payment system. Image processing technology automatically identifies purchased items and triggers payment, substituting the manual mechanical checkout procedure with an automated digital system
2Loss of time
If automated image processing and payment systems are implemented, then checkout time is reduced, but system complexity increases
Solution Approach 1:
The optical sensor devices serve multiple functions: they monitor inventory levels on shelves, detect items taken by customers, track customer behavior patterns, and trigger payment processes. This multi-functionality reduces the need for separate specialized systems, thereby managing complexity while achieving automated checkout
Solution Approach 2:
The system introduces an intermediary computing platform that coordinates between optical sensors, image processing algorithms, inventory management databases, and payment processing systems. This central intermediary manages the complexity by providing a unified control layer that integrates various subsystems without requiring direct complex interactions between them
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
Facilitates a quick and seamless shopping experience by eliminating the need for manual checkout and reducing operational inefficiencies through real-time inventory management and automated payment systems.
Implementation Method 1
The retail items that the shopper possesses when leaving the retail store are recognized through image processing
Data Source
AI summary
Systems and methods of conducting frictionless shopping are provided. In one exemplary embodiment, a method is performed by a network node device operationally coupled over a network to optical sensor devices positioned throughout a retail space having shelf structures. Each shelf structure has display devices with each display device being associated with and proximate a certain stocked item of the set of stocked items that is disposed on that shelf structure. The method includes sending, to a first display device that is associated with and proximate a certain stocked item that is electronically requested, over the network, an indication that includes a request to enable an auditory or visual indication so that the certain stocked item can be located on the corresponding shelf structure of the set of shelf structures in the retail space based on the auditory or visual indication.