Remote Image-Acquisition Settings Determination
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Solution Overview
Problem
Existing digital camera systems face limitations in determining optimal image-acquisition settings due to resource constraints and user complexity in selecting scene modes, leading to suboptimal image quality and increased computational lag.
Innovation Solution
A system where pre-image-acquisition information is transmitted to an external system to determine customized image-acquisition settings, allowing for remote processing and providing tailored settings to the digital camera, which can also assess image appropriateness and notify users of opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated scene mode selection is implemented in the camera, then ease of operation is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
A remote computing system is introduced as an intermediary between the camera and the scene analysis process. The camera simply captures images and transmits them to the remote system, which performs the complex scene classification and returns appropriate settings. This mediator approach transfers computational complexity from the camera to an external system.
Solution Approach 2:
The computationally intensive scene analysis and classification functions are extracted from the camera and relocated to a remote computing system. The camera retains only the essential image capture and transmission functions, while the complex processing is performed externally and settings are received as pre-computed results.
2Measurement precision
If computationally intensive scene analysis is performed in the camera, then image-acquisition settings accuracy is improved, but loss of time increases due to processing lag
Solution Approach 1:
The remote computing system acts as an intermediary that receives images, performs accurate scene analysis, and returns settings recommendations. This mediator approach allows the camera to maintain fast response times by not performing heavy computations locally, while still achieving accurate settings determination through the remote system's processing power.
Solution Approach 2:
The computation is moved from the spatial dimension of the camera device to the network dimension, utilizing the communication channel and remote processing resources. This dimensional shift allows accurate analysis without consuming the camera's local computational resources and time.
3Adaptability or versatility
If multiple scene modes are provided to cover all scenarios, then adaptability is improved, but device complexity increases due to the number of modes to manage
Solution Approach 1:
Instead of providing multiple manual scene modes for users to select, the system enables the camera to automatically determine the appropriate settings by analyzing the captured image. The remote computing system performs the adaptation autonomously, eliminating the need for users to manually select from numerous modes while maintaining high adaptability to various scenes.
Solution Approach 2:
The system implements a feedback loop where the camera captures an image, transmits it to the remote system, receives analyzed settings recommendations, and adjusts its parameters accordingly. This feedback mechanism enables automatic adaptation to different scenes without requiring pre-programmed modes for every possible scenario.
Data Source
AI summary
Pre-image-acquisition information is obtained by a digital camera and transmitted to a system external to the digital camera. The system is configured to provide image-acquisition settings to the digital camera. In this regard, the digital camera receives the image-acquisition settings from the external system and performs an image-acquisition sequence based at least upon the received image-acquisition settings. Accordingly, the determination of image-acquisition settings can be performed remotely from the digital camera, where data-processing resources can greatly exceed those within the digital camera.