Vision-Based Outdoor Ad Attention Measurement Using AI Analysis
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Solution Overview
Problem
Outdoor advertising effectiveness is challenging to measure accurately due to the difficulty in determining viewer attention and impact, lacking precise metrics like click-through rates found in online advertising.
Innovation Solution
An apparatus and method using vision sensors to capture images or videos of individuals and vehicles, analyzing exposure, viewing, and attention metrics, and employing AI for enhanced accuracy and efficiency in measuring advertising effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional traffic analysis methods are used to estimate outdoor advertising effectiveness, then the measurement process is simple and low-cost, but the measurement precision and accuracy are insufficient
Solution Approach 1:
The patent replaces traditional mechanical traffic counting methods with vision sensors and AI-based image analysis systems. The vision sensors capture images of pedestrians and vehicles, while AI algorithms automatically analyze these images to determine exposure, viewing, and attention metrics, thereby achieving high-precision measurement without complex manual traffic analysis infrastructure
Solution Approach 2:
The patent introduces vision sensors as an intermediary between the advertising medium and the measurement process. These sensors capture visual data of the surrounding environment, which is then processed by AI algorithms to extract meaningful metrics about pedestrian and vehicle exposure to advertisements, serving as a bridge between physical advertising media and digital analysis
2Measurement precision
If vision sensors and AI analysis are deployed to accurately measure viewer attention and exposure, then the measurement precision improves significantly, but the device complexity and implementation cost increase
Solution Approach 1:
The system employs AI algorithms that automatically analyze vision sensor data without requiring manual intervention. The AI model self-trained on image data can independently determine whether pedestrians and vehicles are exposed to, viewing, or paying attention to advertisements, eliminating the need for complex manual measurement protocols and reducing technical implementation difficulty
Data Source
AI summary
An apparatus and method for measuring the advertising effectiveness of an advertising medium provide users (e.g., advertisers, advertising agencies, media owners) with advertising analysis data and measurement results in real time. Based on the data provided, the users can implement various advertising strategies to optimize their campaigns. In some examples, the apparatus captures an image or video of an individual, a space, or a vehicle located within a visibility range of the advertising medium using a vision sensor; receives and analyze the captured image or video at a computing device; and transmits the analyzed results, including advertising effectiveness measurement results, to a terminal device or a server. The computing device may analyze information related to the individual, the space, or the vehicle based on the received image or video.