Patrol Robot Imaging With Adaptive Supplementary Lighting
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Solution Overview
Problem
In dark computer rooms, the quality of images obtained by IDC patrol robots is low, leading to inaccurate image recognition and reduced acquisition efficiency.
Innovation Solution
An information acquisition device with a photographing module, light source driver, and image processor that adjusts luminance parameters based on image contrast and grayscale information to improve photographing quality, ensuring that images meet preset conditions for accurate recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot patrols in dark computer rooms using existing imaging devices, then it can cover the monitoring area, but the image quality becomes low leading to inaccurate recognition
Solution Approach 1:
The system performs preliminary evaluation of the captured image's photographing quality before proceeding with recognition. If the quality is insufficient, it triggers supplementary lighting and re-capturing, ensuring that only high-quality images are used for accurate recognition, thus resolving the contradiction between operating in dark environments and maintaining recognition accuracy
Solution Approach 2:
The system implements a feedback mechanism where the photographing quality is evaluated based on grayscale information and contrast. When quality is poor, the system adjusts by controlling supplementary lighting and re-capturing images, creating a closed-loop control that ensures reliable image quality regardless of ambient light conditions
2Reliability
If the robot re-takes images multiple times to ensure quality, then image quality improves, but acquisition efficiency decreases
Solution Approach 1:
The system performs preliminary quality evaluation immediately after image capture and only triggers re-capturing when necessary. This approach minimizes the number of re-takes while ensuring quality standards are met, balancing reliability and efficiency by avoiding unnecessary re-capturing in already suitable conditions
Solution Approach 2:
The feedback mechanism evaluates photographing quality based on objective metrics (grayscale distribution and contrast). By providing quantitative feedback, the system makes informed decisions about whether re-capturing is needed, reducing arbitrary re-takes and improving overall acquisition efficiency while maintaining quality standards
3Adaptability or versatility
If the robot uses fixed photographing parameters, then the device complexity is low, but it cannot adapt to varying light conditions
Solution Approach 1:
The system dynamically adjusts photographing parameters based on real-time evaluation of image quality metrics. The control algorithm adapts the luminance parameters and triggers supplementary lighting based on the evaluated photographing quality, enabling the system to respond flexibly to varying light conditions without requiring complex hardware modifications
Solution Approach 2:
The system changes photographing parameters (such as luminance settings and supplementary lighting activation) based on evaluated image quality. By adjusting these parameters dynamically according to grayscale and contrast measurements, the system achieves adaptability to different lighting environments while keeping the control logic relatively simple
Data Source
AI summary
The present disclosure relates to an information acquisition device, method, patrol robot and storage medium, which relates to the technical field of robots. The information acquisition device includes: a photographing module configured to take an image in response to the acquisition of a photographing instruction; a light source driver configured to drive a light source connected to the light source driver to emit light according to a luminance parameter in the supplementary lighting instruction; an image processor configured to determine the photographing quality of the image; if the photographing quality of the image is greater than a preset value, recognize target information from the image; if the photographing quality is not greater than the preset value, redetermine the luminance parameter according to the image, send the photographing instruction to the photographing module, and send the supplementary lighting instruction including the luminance parameter to the light source driver.