Handwritten Annotation Capture and Sharing System
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Solution Overview
Problem
Existing methods fail to enable the sharing of annotations made on physical documents with other users, as these annotations are typically linked to the physical document and cannot be easily transferred or accessed by others.
Innovation Solution
A method and system that capture, store, and share hand-written annotations on physical documents by receiving the document, identifying and extracting the annotations along with their position information, and associating them with the document, allowing for sharing via a processor and server, enabling other users to view and print the annotations using augmented reality or browser plugins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If annotations are made on physical documents, then the annotations are directly linked to the document content, but the annotations cannot be shared with other users
Solution Approach 1:
The patent creates a digital copy of the physical document annotations by capturing images of the annotations with a mobile device camera. The system processes these images to extract annotation data, store it in a database, and make it accessible for sharing with other users while maintaining the original physical document as the source of truth
Solution Approach 2:
The patent introduces a server as an intermediary between the physical document and users. The server stores annotation data, manages user access, and facilitates sharing by transmitting annotation information between users and devices, enabling collaboration without requiring direct physical access to the annotated document
2Adaptability or versatility
If annotations are captured and stored digitally, then the annotations can be shared and accessed remotely, but the process requires complex processing to separate annotations from document background
Solution Approach 1:
The patent replaces manual annotation extraction with automated image processing algorithms. The system uses computer vision techniques to detect, segment, and extract handwritten annotations from document images automatically, eliminating the need for manual transcription or complex manual processing while maintaining high accuracy
Solution Approach 2:
The patent enables the annotation extraction process to be self-service by allowing users to simply capture images of annotated documents with their mobile devices. The system automatically processes these images, extracts annotations, and makes them available for sharing without requiring users to perform complex extraction operations themselves
Data Source
AI summary
Embodiments of the disclosure disclose methods, and systems for capturing, sharing and printing annotations. The method includes receiving a physical document including hand-written annotation, the hand-written annotation is made by a user corresponding to at least a portion of the physical document. The method further includes capturing the hand-written annotation and corresponding position information of the hand-written annotation, wherein capturing further includes capturing position information of the at least portion of the physical document. Further, the method includes storing the captured hand-written annotation, position information of the hand-written annotation and position information of the at least portion of the physical document. Moreover, the method includes associating the hand-written annotation to the at least portion of the physical document. Additionally, the method includes sharing the hand-written annotation with other users.