Automated Digital Camera Capture Parameters With Haptic Input
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Solution Overview
Problem
Portable electronic devices like smartphones and smart glasses often lack complex control mechanisms for manual adjustment of image capture parameters, leading to suboptimal image quality and inefficient resource utilization.
Innovation Solution
The implementation of a portable electronic device with automated and semi-automated adjustment of image capture parameters based on user input and image metrics, such as camera sensitivity adjustments based on brightness metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control mechanisms for image capture parameters are provided, then user control and customization are improved, but device complexity increases
Solution Approach 1:
The camera system automatically adjusts image capture parameters (shutter speed, aperture, ISO sensitivity) based on sensor data from the environment, eliminating the need for manual user intervention. The system serves itself by autonomously optimizing parameters according to detected lighting conditions, scene brightness, and other environmental factors.
Solution Approach 2:
Physical manual controls (dials, buttons, sliders) are replaced with automated electronic control systems that use sensors and processors to adjust parameters. The mechanical interaction is substituted with electronic sensing and automated parameter adjustment based on environmental data.
2Manufacturing precision
If sophisticated sensing equipment is added to portable devices, then image capture quality is improved, but device cost and complexity increase
Solution Approach 1:
Existing sensors in portable devices (ambient light sensors, proximity sensors, camera sensors) are utilized for multiple purposes including image capture parameter adjustment, display brightness control, and automated scene detection. The same hardware serves multiple functions, eliminating the need for dedicated specialized sensors.
Solution Approach 2:
The system uses software-based image processing and computational photography techniques to achieve professional-grade image quality without requiring expensive specialized hardware. Algorithms process and enhance images to compensate for the limitations of simpler sensors.
3Manufacturing precision
If resource-intensive image processing is always applied, then image quality is improved, but resource utilization efficiency decreases
Solution Approach 1:
The system applies image processing at varying levels of intensity based on the specific capture conditions. Not all images receive the same level of processing - the system adjusts the degree of processing according to scene complexity, lighting conditions, and detected subject matter, applying full processing only when necessary.
Solution Approach 2:
The image processing pipeline dynamically adjusts its operations based on real-time conditions. The system modifies processing parameters, selects different processing algorithms, or skips certain processing steps depending on the captured scene characteristics, optimizing resource usage while maintaining quality.
Data Source
AI summary
A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an input attribute of user engagement with a single-action haptic input mechanism. For example, the duration for which a single-action control button carried on a frame of the device is pressed automatically determines an image stabilization mode for on-board processing of captured image data. In one example, an above-threshold press duration automatically activates a less rigorous image stabilization mode, while button release before expiry of the threshold automatically activates a more rigorous photo stabilization mode.