Computer Vision Retail Ad Adjustment via Customer Behavior Analysis
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Solution Overview
Problem
Existing systems fail to automatically and efficiently change advertisement content in retail stores based on real-time customer behavior analysis, lacking non-obtrusive and cost-effective methods for tracking customers' visual information and shopping paths.
Innovation Solution
A system utilizing computer vision technologies and arrays of image capturing devices to analyze customer behavior, allowing for automatic and real-time adjustment of advertisement content without requiring customer involvement or cumbersome devices, enabling flexible installation and efficient data gathering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional advertisement systems are used in retail stores, then advertisement content can be displayed, but the system cannot automatically change content based on real-time customer behavior analysis
Solution Approach 1:
The system enables self-service by using computer vision technology to automatically detect, track, and analyze customer behavior without requiring any customer action or input. Customers simply walk through the store while the system captures images, processes behavioral patterns, and automatically adjusts advertisement content accordingly, eliminating the need for manual data collection or customer participation.
Solution Approach 2:
The patent replaces manual or mechanical systems of advertisement management with an automated computer vision-based system. Instead of manual observation or simple sensors, the system uses image capturing devices, computer vision algorithms, and behavioral pattern recognition to automatically analyze customer behavior and control advertisement display, substituting mechanical approaches with intelligent automated processing.
2Measurement precision
If customer behavior tracking is implemented using conventional methods, then customer data can be collected, but the methods are obtrusive and require customer involvement or cumbersome devices
Solution Approach 1:
The system enables self-service by using computer vision technology to automatically detect, track, and analyze customer behavior without requiring any customer action or input. Customers simply walk through the store while the system captures images, processes behavioral patterns, and automatically adjusts advertisement content accordingly, eliminating the need for manual data collection or customer participation.
Solution Approach 2:
The patent introduces computer vision technology as an intermediary between the physical customer behavior and the digital advertisement system. Instead of directly interacting with customers through devices or surveys, the system uses image capturing devices and vision algorithms as intermediaries to indirectly observe and analyze behavior, maintaining measurement precision while eliminating customer involvement requirements.
3Productivity
If arrays of image capturing devices are deployed for customer tracking, then real-time behavioral data can be gathered, but system complexity and installation cost increase
Solution Approach 1:
The patent applies universality by designing the image capturing devices to serve multiple functions: they capture images for behavioral analysis, track customer movement paths, determine dwell times in different store sections, and provide data for both individual and group behavior analysis. This multi-functionality allows a single array of devices to gather comprehensive data needed for real-time advertisement control, improving productivity while managing system complexity through consolidated functionality.
Solution Approach 2:
The system segments the customer tracking function into discrete image capturing zones throughout the store, with each device or group of devices responsible for specific areas. This segmentation allows for modular installation and processing, where behavioral data from different sections can be independently analyzed and combined, reducing overall system complexity while maintaining comprehensive data gathering efficiency.
Data Source
AI summary
The present invention is a method and system for automatically changing the advertisement contents on a means for displaying the contents based on a customer's behavior or a group of customers' behavior in a retail store. The analysis of behavioral pattern is performed automatically and in real-time based on the visual information from the shopping and walkthrough history of a customer or a group of customers, using arrays of sensing devices, such as a plurality of means for capturing images, and a plurality of computer vision technologies on the visual information.