Collective AR Network for Real-Time Object Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mobile devices lack an effective method to create a collective network environment where users can identify and share information about objects of interest in real-time video streams, limiting the ability to notify and facilitate transactions among users based on object recognition.
Innovation Solution
Implementing real-time video analysis using augmented reality (AR) on mobile devices to recognize objects such as logos, products, and locations, and matching this data with user profiles and financial institution information to notify interested users and facilitate transactions within a collective network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time video analysis and AR object recognition are implemented on mobile devices, then users can identify and share information about objects of interest in real-time, but the device complexity and processing requirements increase significantly
Solution Approach 1:
The patent introduces a collective network system as an intermediary that coordinates multiple mobile devices to perform object recognition and video analysis collectively. Instead of requiring each individual device to have full AR processing capability, the system distributes the computational workload across the network, with devices collaborating to identify objects and share information. This mediator approach resolves the contradiction by enabling real-time object identification without requiring complex processing in each individual device.
2Adaptability or versatility
If multiple users are connected in a collective network for real-time notification, then user engagement and transaction facilitation improve, but the network infrastructure and data management complexity increase
Solution Approach 1:
The patent creates a universal collective network system that performs multiple functions: object recognition coordination, real-time user notification, transaction facilitation, and data sharing. This multi-functional platform addresses various user needs (information sharing, commerce, communication) through a single integrated network infrastructure, resolving the contradiction by providing versatile capabilities without proportionally increasing complexity for each individual function.
3Reliability
If financial institution data is integrated for transaction processing, then transaction facilitation and user trust improve, but security requirements and data privacy concerns increase
Solution Approach 1:
The patent introduces the collective network system as a secure intermediary layer between users and financial institutions. Rather than directly exposing financial data or creating security vulnerabilities, the system acts as a mediator that handles transaction coordination, verification, and processing through established financial institution interfaces. This approach enhances transaction reliability while minimizing security risks by using proven financial infrastructure rather than building new vulnerable systems.
Data Source
AI summary
Embodiments of the invention provide for using video analysis, such as augmented reality or the like to assist a group of users to utilize mobile devices for creating a collective network environment of users that identifies objects in which one or more users in a group of users may be interested, and notifies the one or more users of information associated with the object. A collective network comprises a group of users that each have a mobile device that contains or is otherwise operatively coupled to a data capture device. For example, the mobile device may be a mobile phone that is capable of taking video with a camera device. A user in the collective network may capture video on his mobile device, and an application can identify the object in the video and provide interested users in the collective network with information about the object.