Mixed Reality Ad Targeting via Object Detection and Pre-categorization
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Solution Overview
Problem
Existing methods for delivering advertisements are not applicable to mixed reality environments, creating a need for a system to generate and display tailored advertisements in these settings.
Innovation Solution
A system comprising processing devices, memory devices, and communication devices that execute computer-readable program code to identify objects in a mixed reality environment, match them with advertisements, and select appropriate ads based on factors like location, time, and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional advertisement delivery methods are used, then existing advertising systems can maintain their current operation, but they cannot be applied to mixed reality environments
Solution Approach 1:
The system is designed to handle multiple functions within a unified architecture: detecting objects in mixed reality environments, categorizing them, receiving bids from multiple third-party entities, selecting advertisements, and displaying them. This multi-functional approach enables conventional advertising delivery mechanisms to operate effectively in mixed reality contexts without requiring entirely separate systems for each function.
Solution Approach 2:
The system introduces an intermediary advertising platform that acts as a mediator between third-party entities and the mixed reality environment. This platform receives bids from multiple third parties, processes them according to predefined criteria, and selects appropriate advertisements for display. The intermediary layer simplifies the complexity by centralizing the decision-making logic for advertisement selection and delivery.
2Adaptability or versatility
If multiple advertisements are available for an object, then advertising options increase, but selecting the appropriate advertisement becomes more complex
Solution Approach 1:
The system resolves the complexity of selecting from multiple advertisements by changing the selection parameters to objective, pre-defined criteria. These criteria include bid amounts from third-party entities, characteristics of the detected object, and contextual factors from the mixed reality environment. By transforming the selection process into a parameter-based decision system, the complexity of choosing among multiple advertising options is reduced to evaluating and comparing predefined parameters.
3Productivity
If real-time object detection and advertisement selection is implemented, then tailored advertisements can be displayed, but processing time and computational resources increase
Solution Approach 1:
The system applies preliminary action by pre-categorizing objects and pre-establishing bid parameters from third-party entities before real-time detection occurs. When an object is detected in the mixed reality environment, the system can quickly match it against pre-categorized categories and retrieve pre-evaluated bid information, significantly reducing the processing time required for real-time advertisement selection and delivery.
Data Source
AI summary
Embodiments of the present invention provide a system for generating and displaying tailored advertisements in a mixed reality environment. The system is configured for continuously identifying one or more objects in a mixed reality environment, identifying the one or more objects match advertising targets, generating a tailored advertisement, transmitting the tailored advertisement to the user device, causing the user device to display the tailored advertisement, determining that the user is interacting with the tailored advertisement, and capturing one or more metrics associated with the interaction of the user with the tailored advertisement.