Mobile Image Capture with Real-Time Quality Feedback
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Solution Overview
Problem
The quality of images captured by mobile devices is often poor, making them unsuitable for electronic processing of documents, and the process of evaluating image quality is time-consuming and cumbersome for users.
Innovation Solution
A system and method for real-time evaluation and enhancement of image quality on mobile devices, which provides feedback to users on optimizing image capture parameters such as angle, motion, and distance, and automatically captures images when optimal conditions are met, utilizing hardware and software to ensure high-quality image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If images are captured using mobile devices, then image capture becomes accessible and convenient, but image quality deteriorates and becomes unsuitable for electronic processing
Solution Approach 1:
The system performs preliminary evaluation of image quality parameters (focus, exposure, contrast) before the actual image capture. It provides real-time feedback to guide the user in positioning and capturing the document under optimal conditions, ensuring high-quality images are obtained without requiring post-capture correction
Solution Approach 2:
The system continuously monitors image quality parameters during the capture process and provides real-time feedback to the user. This feedback loop enables the user to adjust their positioning and capture actions to achieve optimal image quality, resolving the contradiction between ease of operation and image quality
2Manufacturing precision
If manual evaluation of image quality is performed, then image quality can be assessed, but the process becomes time-consuming and cumbersome
Solution Approach 1:
The system automatically evaluates image quality parameters (focus, exposure, contrast) without requiring manual intervention. The automated evaluation process occurs in real-time during the capture process, eliminating the need for separate manual assessment steps and significantly reducing time loss
Solution Approach 2:
The system replaces manual image quality evaluation with automated computational analysis. By using software algorithms to automatically assess focus, exposure, and contrast parameters, the system eliminates the time-consuming manual process while maintaining accurate quality assessment
3Manufacturing precision
If real-time image quality evaluation is implemented, then image quality improves, but device complexity increases
Solution Approach 1:
The system leverages existing multi-functional capabilities already present in mobile devices (camera, processor, display) to achieve real-time image quality evaluation. By utilizing the device's existing hardware and software architecture for multiple purposes, the system avoids adding substantial complexity while still achieving the desired image quality improvement
Data Source
AI summary
Real-time evaluation and enhancement of image quality prior to capturing an image of a document on a mobile device is provided. An image capture process is initiated on a mobile device during which a user of the mobile device prepares to capture the image of the document, utilizing hardware and software on the mobile device to measure and achieve optimal parameters for image capture. Feedback may be provided to a user of the mobile device to instruct the user on how to manually optimize certain parameters relating to image quality, such as the angle, motion and distance of the mobile device from the document. When the optimal parameters for image capture of the document are achieved, at least one image of the document is automatically captured by the mobile device.