Vehicle-Mounted Camera System for Mobile Display Effectiveness Measurement
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Solution Overview
Problem
Advertisers face challenges in measuring the effectiveness of images displayed on moving objects, such as billboards, as they cannot accurately determine the number of viewers or which images or campaigns are most effective.
Innovation Solution
An apparatus and method using a vehicle with display screens and a camera to analyze the number of people with a line of sight to the images, incorporating an embedded system that tracks viewer demographics and correlates environmental attributes to assess image effectiveness, with data transferable to a remote computing system for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If traditional billboard advertising is used, then advertising coverage area is large, but viewer measurement capability is poor
Solution Approach 1:
The patent replaces traditional mechanical surveying methods with electronic imaging devices (cameras) and computational analysis. The system uses cameras mounted on vehicles to capture images of billboards and automatically analyzes them to count viewers and assess engagement, substituting manual field surveys with automated optical-electronic measurement systems.
2Adaptability or versatility
If multiple images and advertising campaigns are deployed, then advertising versatility is improved, but effectiveness differentiation measurement is poor
Solution Approach 1:
The patent implements a feedback mechanism where the system not only counts viewers but also analyzes their engagement behavior (time spent viewing, attention level) and correlates this data with specific billboard images and locations. This feedback loop enables advertisers to determine which images and campaigns are most effective based on actual viewer behavior data.
Solution Approach 2:
The system measures multiple parameters simultaneously (viewer count, engagement time, attention level, location, time of day) to differentiate effectiveness across multiple advertising campaigns. By changing and monitoring multiple parameters, the system can precisely distinguish the performance of different images and campaigns.
3Device complexity
If manual survey methods are used to measure billboard effectiveness, then equipment complexity is low, but measurement precision and data accuracy are poor
Solution Approach 1:
The patent introduces an intermediary computational analysis system that processes images captured by cameras. Rather than directly counting viewers through complex manual methods, the system uses image processing algorithms as an intermediary to automatically identify, count, and analyze viewer behavior, achieving high measurement precision through automated computational methods.
Data Source
AI summary
Presented here is an apparatus and a method for measuring effectiveness of images displayed on a moving object. For example, the moving object can be a vehicle with a frame mounted on the rooftop. The frame can have one or more display screens mounted on one or more sides, showing various images. The vehicle can be a part of a fleet of vehicles in communication with each other. A camera can be mounted close to the display screen and can record images of the surrounding environment. An embedded system within the vehicle can analyze the recorded images to determine a total number of people having a line of sight to the displayed image, and a total number of people looking at the displayed image. Based on the analysis, the embedded system can determine the effectiveness of the displayed image.