Ambiguous Image-Based Product Recognition in Retail Compliance
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Solution Overview
Problem
Existing methods for monitoring retail spaces are inefficient and nonuniform, leading to gaps in compliance with product placement guidelines, as they rely on manual checks that do not allow for continuous monitoring of dynamically changing displays.
Innovation Solution
The implementation of systems and methods that use image processing and supporting sensors to capture, collect, and analyze images of products in retail stores, identifying products and triggering alerts for disparities between desired and actual product placements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring of product placement is used, then compliance can be checked, but the monitoring is inefficient and results in nonuniform compliance and significant gaps
Solution Approach 1:
The patent replaces manual mechanical monitoring with an automated image processing system. Cameras capture images of product displays, and computer vision algorithms automatically analyze whether products are placed according to guidelines, eliminating the need for manual inspection while improving both reliability and efficiency.
Solution Approach 2:
The system enables self-service monitoring where the retail display system automatically checks its own compliance status. The image processing system continuously monitors product placement without external intervention, providing real-time feedback and alerts when compliance issues are detected.
2Duration of action of stationary object
If manual monitoring is used, then some compliance checks can be performed, but continuous monitoring of dynamically changing displays is not possible
Solution Approach 1:
The patent implements continuous monitoring through automated image capture systems that continuously or periodically capture images of product displays. The system processes images in real-time or near-real-time, ensuring uninterrupted surveillance of product placement compliance despite dynamic changes in the retail environment.
3Productivity
If automated image processing is implemented, then continuous monitoring is enabled, but system complexity increases
Solution Approach 1:
The patent designs a multi-functional system where the image processing platform performs multiple tasks: capturing images, analyzing product placement compliance, identifying products, detecting changes in displays, and generating alerts. This universal system consolidates what would otherwise require multiple separate tools, managing complexity while enhancing productivity.
Data Source
AI summary
Preferred embodiments of the present disclosure comprise at least one image of a product captured using at least one image sensor in a retail store. The at least one image may be read from memory, may be received from an external device, or may be captured using the at least one image sensor. The at least one image may be analyzed to attempt to automatically recognize the product, thereby obtaining a confidence level associated with the attempted automatic recognize. Based on the confidence level, a scheme for product recognition may be selected of a plurality of alternative schemes. The selected scheme may be applied to obtain a product type associated with the product. An action may be performed based on the obtained product type.