Server Network for Tracking Receipt Image Exposure
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Solution Overview
Problem
Retail stores face challenges in tracking and managing the usage of receipt areas for advertising content due to variations in how different companies and local stores issue and display advertisements on receipts, making it difficult to assess the effectiveness of advertising campaigns.
Innovation Solution
A server system and method that includes a central server and store servers connected over a network, which distribute and track additional image data on receipts based on specific conditions, allowing for efficient calculation of the exposure of advertising content across multiple receipt printers and stores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different companies and local stores issue receipts with advertising content in different manners according to different policies, then the advertising content can be displayed on receipts across multiple stores, but it becomes difficult to track and assess the exposure area of advertising content
Solution Approach 1:
The patent applies color change detection by converting receipt images to HSV color space and identifying advertising regions through specific color range thresholds. The system detects colored regions that differ from the typical black-and-white receipt content, using color saturation and hue values to segment advertising content from transaction details, thereby enabling precise measurement of advertising exposure area.
Solution Approach 2:
The patent transforms the receipt image from RGB to HSV color space parameters, then applies thresholding on saturation and value components to identify advertising regions. By changing the parameter space and applying mathematical operations (threshold comparison, area calculation), the system converts unstructured visual data into quantifiable exposure metrics that can be tracked across different stores.
2Measurement precision
If a standardized system is implemented to track advertising exposure across multiple stores, then measurement precision of advertising content can be improved, but the device complexity and implementation difficulty increase
Solution Approach 1:
The patent implements self-service functionality where the receipt printing device automatically captures images of printed receipts, processes them through embedded image analysis algorithms, and transmits exposure data to the server. The device performs self-detection and self-reporting of advertising exposure without requiring manual measurement or external intervention, simplifying the overall system architecture while maintaining measurement precision.
Solution Approach 2:
The patent replaces manual physical measurement methods with automated optical and computational systems. Instead of physically measuring advertising areas on printed receipts, the system uses image capture, digital color space transformation, and algorithmic region detection to automatically calculate exposure areas, thereby reducing operational complexity while improving measurement accuracy.
3Productivity
If manual tracking methods are used to assess advertising content on receipts, then implementation simplicity is maintained, but productivity and efficiency of tracking across multiple stores decrease
Solution Approach 1:
The patent establishes continuous automated tracking where receipt printing devices continuously capture images of printed receipts, immediately process them through image analysis, and transmit data to the server without interruption. This continuous automated process eliminates gaps and delays inherent in manual tracking, maintaining constant monitoring of advertising exposure across all connected stores and significantly improving tracking productivity.
Solution Approach 2:
The patent introduces an automated image processing system as an intermediary between the physical receipt printing process and the central server. This intermediary automatically captures receipt images, extracts advertising region information through color analysis, and transmits structured data to the server, thereby eliminating the need for manual data collection and significantly reducing time consumption while maintaining implementation feasibility.
Data Source
AI summary
A server network includes a central server and store servers. Each of the store servers is connected to one or more receipt printers. The central server selects one or more store servers to which image data of an image to be added to a receipt are distributed, and transmits the image data along with condition data to the selected store servers, which are then distributed to receipt printers. Receipt printers that received the image data print one or more receipts with the additional image upon the conditions being met, and transmit content data of each printed receipt to the corresponding store server. Each of the selected store servers generates a receipt issue log based on the content data, and transmits receipt issue logs that accumulated therein to the central server. The central server calculates an amount of exposure of the additional image based on receipt issue logs.