Physical Writing Surface Content Extraction via Image Processing
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Solution Overview
Problem
Existing internet collaboration platforms, particularly in the education industry, do not efficiently utilize conventional pen and paper for collaboration, and existing writing detection systems rely on specialized tools like Infra-Red or active pens, which are not designed for replicating face-to-face interactions.
Innovation Solution
A computer-implemented method for extracting content from a physical writing surface, involving image data processing to determine extraction regions, remove non-content data points, and align subsequent content, using neural networks and Kalman filters to stabilize corner locations and improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional pen and paper are used for collaboration on internet platforms, then ease of operation is improved, but productivity deteriorates due to inefficient integration
Solution Approach 1:
The patent captures images of the physical writing surface using a camera and processes these images to extract content, creating a digital copy of the physical writing. This allows seamless integration of pen and paper with digital platforms, maintaining the ease of physical writing while enabling digital collaboration features.
Solution Approach 2:
The patent introduces an intermediary system that includes a camera, image processing unit, and coordination module that bridges the physical writing surface and the digital collaboration platform. This intermediary enables automatic detection, extraction, and sharing of written content without requiring specialized pens or infrared equipment.
2Measurement precision
If specialized writing detection systems using Infra-Red or active pens are used, then measurement precision is improved, but device complexity worsens
Solution Approach 1:
The patent replaces specialized detection systems (infrared sensors, active pens) with a standard camera and image processing algorithms. The system captures visual information of the writing surface and uses computer vision techniques to detect and extract content, substituting complex specialized hardware with more common, simpler components.
Solution Approach 2:
Instead of using specialized pens that emit infrared signals, the patent captures a visual copy of the entire writing surface using a camera. This approach uses standard imaging technology rather than specialized writing instruments, reducing device complexity while maintaining detection capability.
3Adaptability or versatility
If existing web-conferencing applications are used, then adaptability is improved, but ease of operation worsens due to lack of face-to-face replication
Solution Approach 1:
The patent creates a digital copy of the physical writing surface that can be shared across various digital platforms. By capturing and processing images of the physical surface, the system replicates the face-to-face writing experience in a digital environment, making collaboration more natural while working within existing platform ecosystems.
Data Source
AI summary
A computer-implemented method (300) for extracting content (302) from a physical writing surface (304), the method (300) comprising the steps of:(a) receiving a reference frame (306) including image data relating to at least a portion of the physical writing surface (304), the image data including a set of data points;(b) determining an extraction region (308), the extraction region (308) including a subset of the set of data points from which content (302) is to be extracted;(c) extracting content (302) from the extraction region (308) and writing the content (302) to a display frame (394);(d) receiving a subsequent frame (406) including subsequent image data relating to at least a portion of the physical writing surface (304), the subsequent image data including a subsequent set of data points;(e) determining a subsequent extraction region (408), the subsequent extraction region (408) including a subset of the subsequent set of data points from which content (402) is to be extracted; and(f) extracting subsequent content (402) from the subsequent extraction region (408) and writing the subsequent content (402) to the display frame (394).