Robot Camera Backlight Correction via State-Dependent Parameter Adjustment
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Solution Overview
Problem
Conventional methods for reducing backlight effects in robot cameras do not provide precise control based on the actual environment, leading to poor image quality due to inadequate correction of camera parameters, especially in dynamic service areas.
Innovation Solution
A device and method that include a camera, a communicator, and a processor to acquire surrounding images and current state values of the robot, calculating camera parameters such as exposure, gain, and white balance based on the robot's position, direction, and optical characteristics of the service area, using lookup tables and luminance values to adjust for backlight phenomena.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional camera parameter correction based on luminance is used, then the backlight phenomenon is somewhat reduced, but the control precision based on actual environment is insufficient
Solution Approach 1:
The patent applies parameter changes by adjusting camera parameters (exposure, gain, white balance) based on the robot's dynamic state parameters (position, direction, speed) and environmental parameters (luminance, time). This allows precise adaptation to different service environments while effectively reducing backlight effects through state-dependent parameter optimization.
Solution Approach 2:
The patent implements dynamics by making camera parameters dynamically adjustable based on the robot's real-time state. The system continuously monitors the robot's position, direction, and speed, and automatically adjusts camera parameters accordingly, enabling precise control that adapts to the actual service environment rather than using fixed correction values.
2Ease of manufacture
If fixed camera parameter correction is applied, then the implementation is simple, but the adaptation to different service environments is poor
Solution Approach 1:
The patent applies self-service by enabling the camera system to automatically adjust its parameters based on the robot's state and environmental conditions. The system autonomously monitors luminance, robot position, direction, and speed, then self-corrects camera parameters without manual intervention, achieving both implementation simplicity and environmental adaptability.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring the robot's state (position, direction, speed) and environmental conditions (luminance), then using this feedback to dynamically adjust camera parameters. This closed-loop approach ensures the system adapts to different service environments while maintaining automated control.
3Manufacturing precision
If sophisticated environment-based correction is implemented, then the image quality is improved, but the system complexity increases
Solution Approach 1:
The patent applies universality by designing a multi-functional system where the robot's state monitoring and camera parameter control are integrated. The same processor that controls robot navigation also manages camera parameter adjustment, eliminating the need for separate dedicated hardware and reducing system complexity while maintaining high image quality through environment-based correction.
Data Source
AI summary
A device and a method reduce a backlight effect on a camera of a robot in consideration of a situation of the robot. The device acquires a surrounding image, communicates with a system of the robot to obtain a current state value of the robot, and calculates a parameter value of the camera based on the current state value of the robot. Thus, the device precisely corrects the parameter of the camera based on an environment where the robot is actually located, thereby reducing the backlight effect on the camera.