AR Object Filtering via Image Recognition and Tagging
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Solution Overview
Problem
Users face inefficiencies in identifying and selecting specific products within a scene, such as a grocery store, due to the need for repetitive and tedious searches, and difficulty in keeping track of product preferences.
Innovation Solution
A computing system that processes image data from a mobile device to recognize objects in a scene, generate tags associated with these objects, filter objects based on user selections, and provide object-specific information overlaid on the image data through an augmented reality interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search for products in a scene, then they can identify product information, but the process is repetitive and time-consuming
Solution Approach 1:
The patent replaces manual mechanical searching with automated optical recognition. Image capture devices and processing systems automatically detect, identify, and filter products in scenes, substituting human visual search with computational image analysis. This resolves the contradiction by maintaining accurate product identification while eliminating repetitive manual search time.
Solution Approach 2:
The system performs preliminary actions by pre-processing and indexing product information before user queries. Image data is captured and analyzed in advance, product databases are pre-organized with filters and attributes, enabling rapid retrieval and comparison without requiring users to manually search through products during shopping.
2Loss of information
If users track multiple product preferences, then they can make informed selections, but it becomes difficult to keep track of preferences
Solution Approach 1:
The patent introduces an intermediary computing system that manages product preference information between the user and the vast product database. This intermediary automatically stores, organizes, and retrieves preference data, filtering products based on user criteria without requiring users to manually track multiple preferences. The system handles the complexity of information management while users benefit from simplified product selection.
3Loss of information
If comprehensive product information is provided, then users can make better decisions, but information overload occurs
Solution Approach 1:
The patent applies local quality by providing different levels of information detail to different users based on their specific needs and preferences. The system filters and prioritizes product information, presenting only relevant attributes and details to each user. This ensures comprehensive information is available in the database while users receive customized, manageable information sets that are easy to process and compare.
Solution Approach 2:
The system initially provides comprehensive product information (excessive action) but then filters and prioritizes based on user preferences and behavior. By offering complete information upfront and then selectively presenting relevant portions, the system ensures no important information is lost while making the actual user experience manageable and easy to operate.
Data Source
AI summary
Systems and methods for providing scene understanding can include obtaining a plurality of images, stitching images associated with the scene, detecting objects in the scene, and providing information associated with the objects in the scene. The systems and methods can include determining filter tags or query tags that can be selected to filter the plurality of objects, which can then be provided as information to the user to provide further insight on the scene. The information may be provided in an augmented-reality experience via text or other user-interface elements anchored to objects in the images.