Camera-Based Spatial Note Storage and Retrieval
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Solution Overview
Problem
Existing note-taking methods, both manual and digital, face challenges in efficiently storing and managing hierarchical notes associated with specific spaces, as they often require manual input, are difficult to update, and lack intuitive organization and search functionality.
Innovation Solution
An electronic device equipped with a camera module and processor that acquires images of objects and spaces, allowing users to store and display note information through augmented reality, enabling easy hierarchical note creation, update, and search using image and voice inputs, as well as IoT information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual note-taking methods (note papers or note applications) are used, then notes can be created and stored, but it becomes difficult to emphasize the relevance of notes to specific spaces and time locations
Solution Approach 1:
The patent uses image copying technology to capture visual representations of physical spaces and objects. By photographing a space with a camera module and storing the image data, the system creates a digital copy that preserves the spatial context. Notes are then associated with these image copies, allowing users to retrieve notes by viewing the captured space rather than searching through text lists, thus preserving spatial-temporal relevance while maintaining ease of operation.
2Adaptability or versatility
If note applications are used to store and manage notes, then notes can be organized hierarchically, but it requires considerable manual input and time to divide and store notes
Solution Approach 1:
The patent implements automatic image recognition and object detection algorithms that perform self-service by automatically analyzing captured images, identifying spaces and objects, and creating hierarchical note structures without user intervention. The system autonomously categorizes notes based on visual content, extracts key features, and organizes them into hierarchical folders, eliminating the need for manual note division and storage while maintaining versatile hierarchical organization.
Solution Approach 2:
The patent replaces the mechanical manual operation of creating and organizing notes with automated image processing and AI-based recognition systems. Instead of manually typing, cutting, pasting, and organizing note elements, the system uses computer vision algorithms to automatically analyze images, detect objects and spaces, and generate structured note hierarchies, substituting manual mechanical operations with automated computational processes.
3Ease of operation
If traditional note applications are used, then notes can be stored digitally, but it is difficult to update or revise notes without deleting and re-typing
Solution Approach 1:
The patent implements a dynamic note system where notes are linked to live image data and object detection results. When a user recaptures an image of the same space, the system dynamically updates the associated notes by comparing new image data with existing data, automatically detecting changes in objects or environment, and modifying note content accordingly. This dynamic approach allows continuous updates without deletion or re-typing, as the note system adapts automatically to new input.
4Quantity of substance
If notes are listed in chronological order in note applications, then all notes can be stored, but users often forget past notes and cannot easily retrieve relevant information
Solution Approach 1:
The patent employs visual tagging and color-coding systems where notes are associated with specific visual features extracted from images, such as object colors, space characteristics, and visual identifiers. Instead of relying on chronological lists, the system allows users to retrieve notes by visual search - capturing an image of the space and automatically matching it with stored notes based on visual feature comparison. This visual retrieval mechanism dramatically improves detection efficiency while maintaining the ability to store large quantities of notes.
Data Source
AI summary
An electronic device according to various embodiments comprises a display, a camera module, and a processor, wherein the processor can be configured to: acquire a first image including a specific region through the camera module; store, on the basis of the first image, information related to at least one object included in the first image; acquire, on the basis of the second image, information related to at least one object included in a second image when the camera module acquires the second image including at least a partial region of the specific region; display, through the display, together with the second image, information that matches information corresponding to the at least one object included in the second image from among the pieces of information related to the at least one object included in the first image; and store, in correspondence to the at least partial region of the specific region, information which does not match the information corresponding to the at least one object included in the second image from among the pieces of information related to the at least one object included in the first image. Other additional embodiments are possible.