Hand Obstruction Detection in Image Capture Devices
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Solution Overview
Problem
Image capture devices often suffer from hand obstructions within their field of view, which can result in unwanted visual content and reduced image quality, as users' hands can block the camera lens during image or video capture.
Innovation Solution
An image capture device equipped with a processor that analyzes the peripheral portion of the visual content to detect the presence of an on-housing hand using color value comparisons and sharpness analysis, generating alarms to alert the user of hand obstructions, thereby preventing hand interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user holds the camera to capture images or videos, then the camera is portable and easy to operate, but the user's hand may block the view of the camera
Solution Approach 1:
The system performs preliminary detection of hand obstructions by analyzing peripheral portions of visual content before the hand fully blocks the field of view. The alarm is generated in advance to alert the user to adjust their grip, preventing the obstruction from occurring during the actual capture.
Solution Approach 2:
The system provides real-time feedback to the user by generating an alarm when a hand obstruction is detected in the peripheral area. This feedback loop allows the user to immediately adjust their hand position to eliminate the obstruction and capture clear images or videos.
2Reliability
If the user adjusts grip to avoid hand obstruction, then image quality improves, but the ease of operation decreases
Solution Approach 1:
The system automatically detects hand obstructions and alerts the user without requiring manual checking or adjustment. The automated detection and alarm generation allow users to maintain their natural gripping姿势 while the system monitors for obstructions and provides guidance when needed.
3Area of stationary object
If the field of view is increased to reduce obstruction impact, then more scene is captured, but hand obstruction in periphery becomes more likely
Solution Approach 1:
The system divides the visual content into different regions, specifically analyzing the peripheral portions separately from the central field of view. By applying masks to isolate peripheral areas and performing specialized analysis on these segments, the system can detect hand obstructions without compromising the overall wide field of view.
Data Source
AI summary
An image capture device may detect presence of an on-housing hand within a periphery of a field of view of an optical element during capture of visual content through the optical element. The image capture device may generate an alarm to indicate the presence of the on-housing hand within the periphery of the field of view of the optical element.


