Camera Guide Alignment and Auto-Capture for Document Image Quality
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Solution Overview
Problem
Users struggle with capturing clear images of documents using mobile device cameras for transactions due to uncertainty about the optimal positioning, leading to multiple attempts and resource wastage.
Innovation Solution
A camera guide alignment system provides real-time visual feedback and adjustments to help users position their device correctly for capturing usable images, including angle and distance guidance, and automatic image processing to enhance clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually position their camera to capture document images, then they have flexibility in operation, but image quality and usability deteriorate due to incorrect positioning
Solution Approach 1:
The system provides real-time visual feedback through alignment guides and status indicators that show users whether their camera is properly positioned. The guides display alignment status (e.g., colored indicators showing good/bad positioning) and provide directional cues to help users adjust their device orientation and distance, enabling them to achieve high-quality images without expert knowledge
Solution Approach 2:
The system introduces an intermediary alignment guide interface between the user and the document. This guide acts as a mediator that translates complex positioning requirements into simple visual cues, allowing users to indirectly control image quality through the guidance system rather than directly manipulating camera parameters
2Reliability
If users take multiple pictures to ensure one usable image, then image usability improves, but time consumption and resource usage worsen
Solution Approach 1:
The system performs preliminary positioning guidance before the actual image capture. By providing alignment guides and positioning feedback in advance, users can ensure proper camera placement before taking the picture, making the first attempt likely to succeed and eliminating the need for multiple retries
Solution Approach 2:
The system enables users to self-assess their positioning quality through visual feedback indicators. Users can independently determine whether their camera is correctly positioned and adjust accordingly without needing external verification or multiple submission attempts, making the process self-correcting and efficient
3Measurement precision
If computing devices perform back-and-forth transmissions and image processing, then image validation improves, but processing time and resource consumption worsen
Solution Approach 1:
The system performs preliminary validation checks locally on the user's device before transmission. The alignment guides and positioning assessment are conducted in advance, filtering out obviously poor-quality submissions before they reach remote servers, reducing unnecessary back-and-forth transmissions and processing load
Solution Approach 2:
The system extracts and performs critical validation functions locally on the user device rather than relying entirely on remote processing. By taking out the positioning assessment and preliminary quality check functions to the client side, the system reduces the burden on server-side processing and minimizes iterative transmissions
Data Source
AI summary
Disclosed herein are various embodiments for a camera guide alignment and auto-capture system with image processing. An embodiment operates by generating a base image of a document as displayed within a viewfinder of a camera that includes a visual guide. A tilt associated with the base image is identified. One or coordinates corresponding to a position of the visual guide are identified. A perspective correction is performed on the base image based on the coordinate(s) to generate a corrected image, in which the tilt is reduced. A preview of the corrected image is provided for display within the viewfinder. The corrected image is provided for storage or further processing.