AR Virtual Object Association via Geofence and Object Recognition
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Solution Overview
Problem
Current augmented reality games do not allow users to scan real-world objects or enter predefined geofenced boundaries to collect or interact with virtual objects in a comprehensive manner, limiting user engagement and interaction with real-world activities.
Innovation Solution
A system that enables users to access real-world object-associated virtual object data, location, or geofence information, generating virtual objects based on scanned data from client devices, and providing virtual rewards or items when specific real-world objects or locations are identified, allowing users to interact with virtual objects within defined geofences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users scan real-world objects or enter geofenced boundaries to collect virtual objects, then user engagement and interaction with real-world activities are enhanced, but the system complexity and implementation difficulty increase
Solution Approach 1:
The patent merges multiple interaction methods (AR scanning, photography, geolocation) into a unified system that collectively enhances user engagement. By combining these different approaches to collect virtual objects, the system provides versatile engagement opportunities while managing complexity through integrated design.
Solution Approach 2:
The system implements multi-functionality by enabling users to interact with virtual objects through multiple channels: AR scanning of real-world objects, taking photographs of locations, and navigating to geofenced boundaries. This universal approach allows various user preferences and scenarios, enhancing engagement without requiring separate systems for each method.
2Adaptability or versatility
If multiple methods are provided for searching and collecting virtual objects (AR scanning, photography, geolocation), then user engagement is enhanced, but the device complexity increases
Solution Approach 1:
The system segments the virtual object collection process into distinct functional modules: AR scanning module for object recognition, photography module for location capture, and geolocation module for boundary detection. Each module operates independently but contributes to the overall goal, allowing manageable complexity while providing diverse interaction methods.
Solution Approach 2:
A unified virtual object collection system implements all three interaction methods (AR scanning, photography, geolocation) within a single platform. This multi-functional design allows users to choose their preferred method while the system manages the underlying complexity through integrated architecture.
3Adaptability or versatility
If virtual objects are tied to specific real-world locations and objects, then the gaming experience is enriched, but the measurement and recognition precision requirements increase
Solution Approach 1:
The system introduces intermediary elements such as geofence boundaries and object databases that mediate between real-world inputs and virtual object delivery. Geofences act as spatial intermediaries that define collection zones, while object databases serve as reference intermediaries for AR recognition, reducing the precision burden on individual sensing components.
Solution Approach 2:
The system performs preliminary actions by pre-defining geofence boundaries, pre-registering real-world objects in databases, and pre-configuring virtual object associations before users arrive. This preparation reduces the real-time recognition and measurement requirements during actual gameplay, as much of the matching work is done in advance.
Data Source
AI summary
Computer-implemented methods and systems for storing data specifying an association between the real world object associated virtual object, wherein the association utilizes geolocation or place or geofence information and the object criteria. In the event of conducting scanning or taking a photograph of a real world object, detecting that a client device of the server has conducted scanning or augmented reality (AR) scanning or taken a photograph or provided a raw photo or scanned data from particular real world object geolocation. Identifying or recognizing an object in the received photograph or scanned data and based on the identified object satisfying within a defined geographic area surrounding the identified geolocation or the identified geolocation associated place or geofence associated object criteria in the stored data, displaying or providing the associated virtual object including virtual money to the client device.


