Multiparty Object Recognition via Collaborative AR Manipulation
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Solution Overview
Problem
Existing technologies for image recognition and object recognition are limited in their ability to support collaborative engineering and creative applications, often relying on pre-prepared animations, physical models, and static whiteboard depictions, which restrict interactive manipulation of virtual objects in real-time.
Innovation Solution
A system and method that allows data related to real-world objects to be manipulated cooperatively by multiple users through a portal engine and object database, enabling access, modification, and presentation of virtual object data in augmented, mixed, or virtual reality environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-prepared animations and physical models are used for object recognition applications, then implementation reliability is improved, but interactivity and real-time manipulation capability deteriorate
Solution Approach 1:
The system transitions from static pre-prepared animations to dynamic real-time object recognition and manipulation. The object recognition system processes live camera feeds and enables real-time interaction with detected objects, allowing users to manipulate virtual objects dynamically rather than following fixed animations.
Solution Approach 2:
The system creates virtual copies of real-world objects through image recognition and augmented reality overlays. Instead of using physical models, the system generates digital representations of actual objects that can be manipulated virtually, maintaining accuracy while enabling interactivity.
2Device complexity
If static whiteboard depictions are used for collaborative applications, then system complexity is reduced, but collaborative interactivity and engagement deteriorate
Solution Approach 1:
The system introduces an augmented reality intermediary layer between users and physical objects. This layer provides interactive capabilities and real-time collaboration features while maintaining simplicity of the underlying system architecture. The AR interface acts as a mediator that enhances basic functionality without requiring complex infrastructure.
3Measurement precision
If traditional image recognition systems are used, then processing accuracy is improved, but real-time collaborative manipulation capability deteriorates
Solution Approach 1:
The system segments the object recognition and manipulation tasks across multiple users and devices. Each user can independently interact with different aspects of recognized objects, dividing the collaborative workload while maintaining accurate object detection through distributed processing.
Solution Approach 2:
The system replaces traditional mechanical interaction methods (physical manipulation of objects) with digital substitution through augmented reality interfaces. Users interact with virtual representations of objects instead of physical objects, enabling faster collaborative manipulation while maintaining recognition accuracy through computational methods.
Data Source
AI summary
Multiparty object recognition systems and methods are disclosed. A method of interactively manipulating virtual object data, wherein an object database is configured to store first party object data that corresponds to a first real-world object and is further configured to store second party object data that corresponds to a second real-world object, includes obtaining the first party object data and the second party object data for storage within the object database. Access to the object database is controlled such that the first party object data and the second party object data is accessible to the first party and the second party. Modification of the first party object data by the second party is facilitated to generate modified first party object data that is in accordance with at least one context parameter of the second party object data, and the modified first party object data is communicated to the first party.


