Image-Based Advertisement Placement Verification on Retail Shelf Racks
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Solution Overview
Problem
Manual checking of advertisement placement on shelf racks is labor-intensive and inefficient.
Innovation Solution
An information processing apparatus that analyzes images of products and advertisements on shelf racks to determine if the advertisement is correctly positioned relative to the product, using an image processing unit to acquire positions, a determination unit to assess compliance with criteria, and an output unit to report results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checking of advertisement placement is performed, then accuracy of verification can be maintained, but labor cost and time consumption increase
Solution Approach 1:
The patent replaces the manual mechanical checking process with an automated image processing system. The system captures images of shelf racks, automatically detects advertisement positions and product positions through image analysis, and verifies compliance with placement rules without human intervention, thereby reducing time consumption while maintaining verification accuracy.
Solution Approach 2:
The system enables self-service verification by automatically performing the entire advertisement placement checking process. The image processing apparatus independently captures images, analyzes positions, applies verification rules, and generates results without requiring manual labor, making the system self-sufficient in performing the verification task.
2Ease of operation
If manual checking of advertisement placement is performed, then flexibility in handling various placement scenarios can be maintained, but labor cost increases
Solution Approach 1:
The patent creates a universal verification system that can handle multiple advertisement placement scenarios through programmable verification rules. The system is designed to accommodate different placement requirements (e.g., advertisement above product, beside product, specific height ranges) by configuring different rules, making it adaptable to various scenarios without requiring different manual checking approaches.
Solution Approach 2:
The system achieves flexibility by allowing changes in verification parameters and rules. Different placement criteria can be set by modifying the verification rules (e.g., changing height thresholds, position relationships, or placement patterns), enabling the system to adapt to various advertisement placement scenarios without physical reconfiguration or additional manual resources.
3Productivity
If automated image processing is implemented, then productivity increases, but system complexity increases
Solution Approach 1:
The patent divides the verification system into distinct functional modules: an image capture unit for acquiring images, an image processing unit for analyzing positions, a verification rule storage unit for maintaining placement criteria, and a result generation unit for outputting verification results. This segmentation allows each module to perform its specific function independently, improving overall productivity while managing system complexity through modular design.
Data Source
AI summary
An image processing unit (110) acquires a position of an advertisement and a position of a product by analyzing an image in which the product and the advertisement are disposed on a shelf rack are captured. A determination unit (120) determines whether or not a relation between the position of the product and the position of the advertisement satisfies a criterion. An output unit (130) outputs information indicating a determination result obtained by the determination unit (120).