Modular Camera Control Unit for Stereoscopic Video
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Solution Overview
Problem
Current medical imaging systems, particularly endoscopic cameras, face compatibility issues due to varying camera technologies, leading to the need for frequent updates and replacements of Camera Control Units (CCUs), resulting in increased costs and inefficiencies, as they are often designed to be compatible with specific camera heads and lack adaptability for future technologies.
Innovation Solution
A modular imaging system is introduced, featuring a control module that can connect to multiple input modules, allowing for efficient processing and compatibility with various image data formats, enabling backward and forward compatibility, and allowing for the addition of new technologies without replacing the entire system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a CCU is designed to be compatible with specific camera heads, then it can process images from those cameras, but it becomes incompatible with new camera technologies requiring frequent updates and replacements
Solution Approach 1:
The system is divided into separate modules: a camera head module and a CCU module, connected via a standardized interface. This segmentation allows the camera head to be replaced or upgraded independently without affecting the CCU, resolving the contradiction between adaptability and reliability.
Solution Approach 2:
The CCU is designed with a universal interface that can accommodate multiple camera head types through software configuration rather than hardware changes. This universal design enables the CCU to work with various camera technologies while maintaining system stability.
2Adaptability or versatility
If the CCU hardware is updated to support new camera technologies, then compatibility improves, but costs increase and initial investments are lost
Solution Approach 1:
The system employs dynamic software updates rather than static hardware replacements. The CCU can adapt to new camera technologies through software reconfiguration, allowing the system to evolve without requiring expensive hardware upgrades and preserving initial investments.
3Adaptability or versatility
If the CCU is made reconfigurable to work with different cameras, then adaptability improves, but complexity and reconfiguration time increase
Solution Approach 1:
The system incorporates automatic detection and configuration capabilities where the CCU can automatically identify the connected camera type and configure itself without manual intervention. This self-service approach reduces the complexity of reconfiguration while maintaining high adaptability.
4Adaptability or versatility
If older CCUs are upgraded with new software, then compatibility with new cameras may improve, but hardware limitations prevent support for newer image sensors and formats
Solution Approach 1:
The system separates processing functions into the camera head module and the CCU module. This segmentation allows the camera head to handle new image sensor technologies while the CCU focuses on image processing and control, enabling hardware independence between the two components.
Data Source
AI summary
A video imaging system, and more particularly, a modular video imaging system having a control module connectable to multiple input modules. The input modules each capable of receiving differing types of image data from different types of cameras including stereoscopic camera configurations and processing the image data into a format recognizable by the control module. The control unit providing general functions such as user interface and general image processing that is not camera specific including the generation of a 3D image stream formed by combining two image streams.