Automated Visibility Zone Mapping for Advertising Media
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Solution Overview
Problem
Current methods for determining visibility zones of advertising media or shop windows are manual, subjective, and lack immediacy and precision, taking into account only two-dimensional spaces and not accounting for three-dimensional obstacles or dynamic factors like movement speed and time of day.
Innovation Solution
An automated computer application that calculates and maps visibility zones by considering location, morphology, orientation, movement, lighting, and other criteria to determine optimal visibility axes and spaces, taking into account three-dimensional environments and dynamic factors like movement speed and time of day.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to determine visibility zones, then human judgment and flexibility are applied, but the process is subjective, time-consuming, and lacks precision
Solution Approach 1:
The patent replaces manual human assessment with an automated computer-based system that uses algorithms and digital mapping data to calculate visibility zones. This substitution eliminates human subjectivity and dramatically reduces the time required while improving measurement precision through consistent application of visibility criteria.
Solution Approach 2:
The system creates digital replicas of the physical environment using mapped data, including building footprints, street networks, and terrain features. These digital copies allow for rapid iteration and analysis without requiring physical site visits or manual measurements, thereby reducing time loss while maintaining accuracy.
2Measurement precision
If manual committees are formed to assess visibility, then detailed human evaluation is possible, but the workload is major and results lack immediacy
Solution Approach 1:
The automated system replaces manual committee work with computer algorithms that process visibility data rapidly and consistently. The system can evaluate multiple locations and criteria simultaneously, dramatically increasing productivity while maintaining or improving assessment accuracy through standardized computational methods.
Solution Approach 2:
The computer application is designed to handle multiple visibility assessments across different locations, media types, and time periods using the same core engine. This universal system can evaluate advertising posters, shop windows, and other visual elements according to consistent criteria, enabling high-volume processing without sacrificing precision.
3Device complexity
If two-dimensional mapping is used, then simplicity is maintained, but three-dimensional obstacles and spatial relationships are not accounted for
Solution Approach 1:
The system transitions from two-dimensional map representations to three-dimensional visibility analysis by incorporating building heights, terrain elevation, and vertical obstruction data. This dimensional enhancement allows accurate modeling of how three-dimensional obstacles block line-of-sight to advertising media while maintaining computational efficiency through algorithmic approaches.
Data Source
AI summary
According to the invention, the system automatically locates effective visibility zones from which an element to be viewed is visible. For this purpose, for this purpose, the inventive system makes use of the location of potential visibility zones (obtained from data such as sitting, morphology and orientation of the element to be viewed, potential visibility distance assigned to said element, etc.) and the morphology of the region in which the effective visibility zones are to be located. Said system avails of means of appraising the degree of visibility of different visibility zones according to the level of compliance achieved in relation to the criteria for locating visibility zones. By means of a sample practical application, the element to be viewed could be an advertising medium and the effective visibility zones could be defined by effective visibility axes that correspond to the streets of an urban environment in which other parameters can also be considered, such as the number of individuals and the transport means that pass through said streets, the direction of traffic, the time, etc.