Location-Based Viewer Detection for Multi-Monitor Venues
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Entertainment providers face challenges in determining which individuals are watching content on multiple monitors in venues, making it difficult to assess the effectiveness of content in capturing the interest of targeted demographic groups.
Innovation Solution
A method using micro-location technologies to determine, with a degree of confidence, which users are within the viewing angle and perpendicular distance of monitors, assigning confidence levels based on real-time location tracking and trajectory analysis, enabling content providers to enhance content delivery and analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple monitors are used to provide content to individuals in a venue, then content delivery and engagement are improved, but the difficulty of determining who is watching each monitor increases
Solution Approach 1:
The patent introduces location services as an intermediary mechanism to bridge the gap between multiple monitors and viewers. By using wireless devices (phones, tablets) as intermediaries that communicate location data to a central system, the patent enables indirect tracking of who is watching what without requiring direct monitoring equipment on each viewer. This resolves the contradiction by providing a practical mediation layer that makes viewer identification feasible in multi-monitor environments.
Solution Approach 2:
The patent replaces traditional mechanical or physical tracking methods (such as manual surveyors, visible tracking devices on viewers, or complex camera systems) with electronic location services. By substituting the mechanical approach with electronic location tracking via wireless devices, the system achieves non-intrusive, scalable viewer identification that works effectively in venues with multiple monitors without the complexity and intrusiveness of physical tracking systems.
2Loss of information
If location tracking and trajectory analysis are performed in real time, then viewer behavior insights are improved, but computational resources and processing time are consumed
Solution Approach 1:
The patent applies preliminary action by pre-defining viewing zones and trajectories associated with each monitor before actual viewing occurs. The system pre-calculates which areas of the venue correspond to optimal viewing positions for each monitor and stores this information in advance. During actual use, the system only needs to check whether viewers are currently in these pre-defined zones rather than performing complex real-time calculations, significantly reducing processing time while maintaining comprehensive viewer behavior tracking.
Solution Approach 2:
The patent employs partial action by focusing location tracking and analysis only on viewers who are currently within or approaching predefined viewing zones, rather than continuously analyzing all viewers in the venue. By filtering and processing location data selectively based on spatial proximity to monitors and pre-established viewing trajectories, the system reduces computational workload while maintaining sufficient accuracy for effective viewer behavior analysis and content delivery optimization.
Data Source
AI summary
A method, computer program product, and system for determining whether an individual at a venue views content in a monitor includes a processor defining a venue that includes at least one monitor for viewing content, where the at least one monitor has a viewing angle and the at least one monitor is viewable by an individual situated within a viewing cone defined by the viewing angle and within a pre-determined perpendicular distance from monitor. The processor identifies, based on communicating with location services on each client of a plurality of clients, a plurality of users (associated with the clients) entering the venue. The processor determines, in real time, for each user of the plurality of users and for each monitor of at least one monitor, a likelihood that the user is viewing the at least one monitor, wherein the determining comprises, for each user.