Vehicle Occupant Gaze Mapping for Roadside Ad Effectiveness
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Advertisers lack accurate methods to determine the effectiveness of roadside advertisements in attracting potential customers, as there is no reliable measure of how many people view the signs or their demographics, leading to uncertain pricing for advertising spaces.
Innovation Solution
A vehicle occupant gaze detection system that captures images of vehicle occupants' eyes and combines this data with map information to determine which signs are viewed and for how long, generating historical data on viewer demographics to assess advertisement impact and set appropriate pricing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional advertising placement methods are used, then advertisers can place signs along roadways, but they cannot accurately determine the effectiveness or viewer demographics of these advertisements
Solution Approach 1:
The system implements feedback by capturing gaze data from vehicle occupants and using it to generate actionable insights about advertisement effectiveness. The histogram generator creates visual representations of viewer demographics and attention patterns, providing continuous feedback to advertisers about their campaign performance and enabling data-driven optimization of advertising strategies
Solution Approach 2:
The patent introduces an intermediary system comprising gaze detectors, processors, and analysis tools that bridge the gap between advertisement placement and effectiveness measurement. This intermediary infrastructure captures ocular data, processes it through gridmaps and histograms, and translates it into meaningful metrics about viewer engagement and demographics without requiring direct interaction with viewers
2Productivity
If electronic signs display multiple advertisements at different times, then advertising space utilization is improved, but it becomes difficult to track which specific advertisements are viewed and for how long
Solution Approach 1:
The system performs preliminary action by establishing a baseline gridmap of the environment and pre-processing gaze data before advertisements are displayed. The histogram generator is ready to immediately process and categorize viewer attention data by advertisement content, allowing precise tracking of viewing duration and frequency for each ad without interrupting the rapid switching of electronic sign content
Solution Approach 2:
The patent employs dynamics by creating adaptive histograms that update in real-time as advertisements change. The system dynamically adjusts the gridmap and histogram parameters based on detected gaze patterns, enabling continuous tracking of viewer engagement with different advertisements even as they are rapidly displayed and replaced on electronic signs
3Ease of manufacture
If advertisers set pricing based on assumed visibility, then pricing can be established without complex systems, but pricing accuracy does not reflect actual advertisement effectiveness
Solution Approach 1:
The patent replaces the mechanical/manual pricing system based on assumptions with an automated optical measurement system. Gaze detectors and processors automatically collect and analyze viewer attention data, substituting subjective pricing models with objective, data-driven pricing that reflects actual advertisement effectiveness and viewer engagement metrics
Data Source
AI summary
A vehicle occupant gaze detection system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving gaze data from a vehicle. The gaze data includes a viewing direction of an occupant of the vehicle, vehicle information, and time stamp information. The processor is configured to execute the instructions for generating a gridmap including an array of lattice points, and each lattice point of the array of lattice points corresponds to a location. The processor is configured to execute the instructions for generating a histogram including information related to viewing of at least one location by the occupant. The processor is configured to execute the instructions for determining an effectiveness of an object based on the histogram; and transmitting a recommendation based on the effectiveness of the object.