Handheld Camera Feedback via High-Contrast Motion Tracking
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Solution Overview
Problem
Users find it difficult to maintain a handheld computing device camera steady to avoid motion blur during image capture, as detecting camera motion is challenging, especially in handheld devices.
Innovation Solution
A system and method that provide feedback through a user interface on a handheld device, using image change detection and motion detection techniques, such as tracking high-contrast areas, to reset a viewing interval and indicate stability, thereby encouraging users to keep the camera steady by displaying visual cues like shrinking and expanding circles on the screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a user holds the computing device steady to reduce motion blur, then image quality is improved, but the user cannot detect camera motion easily
Solution Approach 1:
The system provides real-time visual feedback to the user through a user interface that displays camera stability status. The interface shows a stable indicator when the camera is steady and an unstable indicator when motion is detected, enabling users to understand camera motion status without requiring them to detect it themselves.
Solution Approach 2:
The user interface acts as an intermediary between the camera system and the user. It translates complex camera motion detection data into simple visual indicators that the user can easily interpret, bridging the gap between technical camera status and user understanding.
2Stability of the object's composition
If the user interface provides continuous feedback to encourage steady holding, then camera stability is improved, but device complexity increases
Solution Approach 1:
The user interface applies different visual qualities to different states. It uses distinct visual indicators (stable indicator vs. unstable indicator) to represent different camera stability states, making the feedback clear and easy to understand without requiring complex interface elements.
Solution Approach 2:
The system uses color or visual changes in the user interface to indicate camera stability status. The stable indicator and unstable indicator utilize visual differentiation (such as color, brightness, or pattern changes) to communicate status, making the feedback intuitive and requiring minimal interface complexity.
Data Source
AI summary
A method may include capturing, by a computing device and during a time interval, a plurality of images. The computing device may determine a sharpness of a first image from the plurality of images based on detection of a difference between sharpness of a first plurality of high-contrast areas within the first image and sharpness of a corresponding, second plurality of high-contrast areas within a second image from the plurality of images. The first image may be sent to a search service. Image recognition data based on the first image or indication of unavailability of the image recognition data may be received from the search service. The determining may further include detecting a movement from at least a portion of the first plurality of high-contrast areas within the first image to a corresponding portion of the second plurality of high-contrast areas within the second image.