Automated Outdoor Ad Content Recognition System
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Solution Overview
Problem
The outdoor advertising market lacks an efficient method to automate the analysis of competitors' advertising costs without manual intervention, and there is no effective way to objectively identify and minimize redundant outdoor advertisements.
Innovation Solution
A method and system that utilize a content collection device equipped with object recognition technology to capture and analyze images of outdoor advertisements, classify advertising content, and transmit metadata to a server for analysis, thereby minimizing redundant content collection and providing accurate market status statistics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated camera-based analysis is used to analyze outdoor advertisement status, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual mechanical analysis methods with automated optical recognition systems. Mobile or fixed cameras capture advertisement images, and image recognition algorithms automatically analyze the captured content, substituting human visual inspection and manual recording with automated computer vision technology.
Solution Approach 2:
The system enables self-service analysis where the advertisement status monitoring performs its own analysis without external intervention. The image recognition system automatically processes captured images, identifies advertisement content, and generates analysis results independently, making the system self-sufficient in performing the complete analysis workflow.
2Measurement precision
If all captured advertisement images are collected and analyzed, then measurement precision is improved, but loss of time increases due to processing redundant content
Solution Approach 1:
The patent applies preliminary filtering actions before complete analysis. The system first performs initial processing on captured images to identify and eliminate duplicates or redundant advertisements, then proceeds with detailed analysis only on unique content. This preliminary sorting step prevents unnecessary processing of redundant images while maintaining analysis accuracy.
3Ease of operation
If manual methods are used to estimate competitor advertising costs, then ease of operation is maintained, but productivity deteriorates
Solution Approach 1:
The patent replaces manual mechanical estimation methods with automated digital analysis systems. Instead of human operators manually estimating competitor advertising costs, the system uses cameras to capture advertisements and automated image recognition to analyze and quantify advertising presence, substituting simple manual operations with sophisticated automated processing that achieves both ease of operation and high productivity.
Data Source
AI summary
A method for collecting contents performed by a content collection device is provided. The method may comprise acquiring a captured image, recognizing a first object included in the acquired captured image by inputting the captured image into an object recognition model, the first object being an advertisement type object, generating content classification information for the recognized first object, determining whether the first object has already been reported by using the content classification information and transmitting metadata for the first object to a server when it is determined that the first object is a new object that has not already been reported as a result of performing the determining of whether the first object has already been reported.