Document Validation via Motion Tracking and Image Categorization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for scanning and validating documents using portable devices suffer from low image quality and inconsistency, making it difficult to achieve reliable full-page document recognition and fine-grained OCR capabilities, especially with varying image sensor types and capture conditions.
Innovation Solution
The system employs video motion tracking and image categorization to improve document capture quality by combining full-document and Region of Interest processing, using a smartphone app to guide users in capturing continuous video or still images, and performing authentication based on feature recognition and pattern matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If full-page document scanning is performed using portable device cameras, then document capture coverage is improved, but image quality and recognition reliability deteriorate
Solution Approach 1:
The patent divides the document scanning process into two distinct phases: full-page capture mode for obtaining complete document coverage, and zoom-in mode for capturing high-resolution details of specific regions. This segmentation allows the system to optimize for different requirements simultaneously - coverage in one mode and quality in another.
Solution Approach 2:
The patent adds a temporal dimension to the scanning process by capturing continuous video frames rather than single static images. This allows the system to select optimal frames from the video sequence and combine information across multiple frames to achieve both full-page coverage and high-quality detail recognition.
2Measurement precision
If zoom-in capture is used for detailed OCR, then pattern recognition accuracy is improved, but document continuity verification becomes more difficult
Solution Approach 1:
The patent implements feedback mechanisms that monitor video continuity and provide real-time guidance to users. The system analyzes successive video frames to detect whether the camera has moved away from the document or lost tracking, and provides feedback prompts to the user to maintain proper capture conditions throughout the scanning process.
3Productivity
If portable device cameras are used for scanning, then accessibility and speed are improved, but image consistency across different devices deteriorates
Solution Approach 1:
The patent dynamically adjusts capture parameters such as frame selection criteria, zoom level, and exposure settings based on the specific characteristics of each device's camera and the current capture conditions. This allows the system to optimize performance for each individual device while maintaining consistent output quality across different hardware platforms.
Data Source
AI summary
Systems and methods include an application operating on a device. The application causes the graphic user interface of the device to display an initial instruction to obtain a full-view image that positions all of an item within a field of view of a camera on the device. The application automatically recognizes identified features of the full-view image, by using a processor in communication with the camera. After displaying the initial instruction, the application causes the graphic user interface to display a subsequent instruction to obtain a zoom-in image that positions only a portion of the item within the field of view of the camera. Also the application automatically recognizes patterns from the zoom-in image, using the processor. Furthermore the application performs an authentication process using the identified features and the patterns to determine whether the item is valid, using the processor.