Live Document Boundary Detection for Real-Time Camera Capture
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Solution Overview
Problem
Conventional systems face challenges in efficiently digitizing physical documents for online storage, requiring multiple steps, excessive processing resources, poor representation, and lack of visual guidance, leading to inefficient and inaccurate document capture.
Innovation Solution
A document identification system that utilizes a robust process to detect document boundaries in real-time image frames and an iterative process to predict updated boundaries, providing a visual indicator in the camera feed to guide accurate document capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems use flatbed scanners to digitize physical documents, then document digitization can be achieved, but the process requires multiple steps and various hardware devices, increasing device complexity and loss of time
Solution Approach 1:
The patent combines the camera device with document identification and boundary detection capabilities into a single integrated system. The camera captures images while the system simultaneously identifies documents and detects boundaries, merging multiple functions (capturing, identifying, boundary detection) into one device rather than requiring separate scanners and processing systems
Solution Approach 2:
The system enables the camera device to automatically identify documents and detect boundaries without requiring user intervention or separate processing devices. The device performs self-service by capturing images and automatically analyzing them for document presence and boundaries, eliminating the need for manual scanning and separate upload processes
2Ease of operation
If users take digital photos of physical documents with mobile devices, then document capture becomes simpler, but the processing resources required for conversion and the lag time increase
Solution Approach 1:
The system performs document identification and boundary detection during the image capture process itself, rather than as a subsequent step. By detecting documents and their boundaries in real-time as the camera captures the image, the system eliminates post-capture processing delays and provides immediate feedback to the user
Solution Approach 2:
The patent replaces traditional mechanical scanning systems with optical capture using a camera. Instead of using a flatbed scanner that requires physical contact and mechanical movement, the system uses optical imaging combined with digital image processing to achieve document digitization, significantly reducing mechanical complexity and processing time
3Measurement precision
If conventional systems provide real-time visual guidance in camera feed, then document capture accuracy improves, but processing resources and lag time increase significantly
Solution Approach 1:
The system applies document identification and boundary detection algorithms selectively based on image characteristics. Rather than processing every pixel uniformly, the system identifies regions of interest and applies processing only where documents are detected, reducing overall computational burden while maintaining detection accuracy
Solution Approach 2:
The system provides continuous real-time visual feedback in the camera feed by continuously analyzing incoming image frames for document presence and boundaries. This continuous processing creates a seamless user experience where the boundary overlay is always available without requiring separate processing steps or causing noticeable delays
Data Source
AI summary
The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.