Smart Lens Object Tagging for On-Demand Visual Recall
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Solution Overview
Problem
Conventional smart lens technologies lack the ability to efficiently record and recall specific objects viewed by the wearer, making it difficult to retrieve and display relevant information about those objects at a later time.
Innovation Solution
A system and method for smart lenses that include a wearable device capable of identifying and tagging objects, storing this information, and allowing users to recall and display the tagged frames and associated data upon request, utilizing a processing system and cloud-based storage for retrieval and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If smart lens records all viewed content continuously, then complete visual history is captured, but storage space and energy consumption increase significantly
Solution Approach 1:
The system extracts only salient objects and events from continuous visual content using computer vision algorithms. Instead of storing all frames, only frames containing identified objects of interest are saved, dramatically reducing storage requirements while preserving important visual information.
Solution Approach 2:
The system performs preliminary analysis of visual content in real-time to identify and tag objects before storage. By pre-processing and categorizing content during capture, the system avoids storing irrelevant data and enables efficient later retrieval without reprocessing entire video streams.
2Measurement precision
If smart lens stores detailed information about all objects, then recall accuracy improves, but processing time and computational resources increase
Solution Approach 1:
Object identification, classification, and tagging are performed in real-time during the viewing moment. This preliminary processing creates an organized database with pre-categorized objects, enabling instant retrieval without requiring complex analysis during recall operations.
Solution Approach 2:
A structured database system acts as an intermediary between captured visual content and user recall requests. The database organizes objects with metadata tags, timestamps, and location information, allowing efficient querying and retrieval without directly processing raw video data during recall.
3Ease of operation
If smart lens provides comprehensive object information, then user interaction quality improves, but device complexity increases
Solution Approach 1:
A database system serves as an intermediary layer between the complex computer vision processing and the simple user interface. This abstraction layer manages the complexity of object recognition, storage, and retrieval operations, presenting a simplified recall interface to users while handling sophisticated processing in the background.
4Adaptability or versatility
If smart lens processes and tags all objects in real-time, then recall functionality is enhanced, but energy consumption increases
Solution Approach 1:
The system applies partial processing by focusing computational resources only on identifying and tagging objects that meet certain criteria (e.g., salient objects, frequently photographed subjects). Not every object in every frame is processed, reducing energy consumption while maintaining useful recall functionality for important content.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, observing a plurality of objects viewed through a smart lens, wherein the plurality of objects are in a frame of an image viewed by the smart lens, determining an identification for an object of the plurality of objects, assigning tag information for the object based on the identification, storing the tag information for the object and the frame in which the object was observed, receiving a recall request for the object, retrieving the tag information for the object and the frame responsive to the receiving the recall request, and displaying the tag information and the frame. Other embodiments are disclosed.