Multi-Camera Image Quality Synchronization via Main Camera Adjustment
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Solution Overview
Problem
Conventional cameras lack the ability to automatically synchronize brightness and white balance between multiple cameras, leading to unsynchronized images which can result in inaccurate distance calculations for robots and unnatural image composition, requiring manual adjustments and external processing.
Innovation Solution
A photographing system that includes a main camera generating an image quality adjustment value and transmitting it to sub cameras via a data communication network, allowing the sub cameras to control their image quality to match the main camera's settings, including brightness and white balance, for synchronized image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional cameras automatically adjust brightness and white balance independently, then each camera can optimize its own image quality, but the images from multiple cameras become unsynchronized, requiring manual adjustments and external processing
Solution Approach 1:
The patent merges the brightness and white balance adjustment functions across multiple cameras by establishing a main camera that generates adjustment values and transmits them to sub cameras. This combining approach ensures that all cameras use unified adjustment parameters, achieving both automatic optimization and synchronization of image quality across the camera array.
2Reliability
If a host processor stores and processes images from multiple cameras, then image synchronization can be achieved, but the system complexity increases and processing time is delayed
Solution Approach 1:
The patent extracts the image quality adjustment function from the host processor and implements it directly within the cameras themselves. The main camera generates brightness and white balance adjustment values locally and transmits them to sub cameras, eliminating the need for complex host processor intervention and reducing processing delays.
Solution Approach 2:
The cameras perform self-adjustment by automatically generating and applying brightness and white balance correction values. The main camera monitors its own image quality and autonomously determines adjustment parameters, which are then automatically applied to sub cameras without requiring external host processor control.
3Manufacturing precision
If manual adjustment is performed for each camera, then image quality can be optimized, but the process becomes time-consuming and impractical for real-time applications
Solution Approach 1:
The main camera preliminarily calculates the brightness and white balance adjustment values based on its own image quality before transmitting them to sub cameras. This advance preparation and automatic application of adjustment parameters eliminates the need for time-consuming manual adjustments while maintaining optimized image quality across all cameras.
Data Source
AI summary
The present disclosure relates to a photographing system and a method for synchronizing image quality thereof, and more particularly, to a photographing system capable of synchronizing image quality between a plurality of cameras by controlling the image quality of a sub camera by transmitting, together with a synchronization signal, an image quality adjustment value generated by the main camera to the sub camera and a method for synchronizing the image quality.