Telescopic Robot Imaging for Mesh-Blocked Indicator Lights
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Solution Overview
Problem
In machine rooms with metal doors having mesh holes, the indicator lights for computer devices are often obstructed, making it difficult for inspection robots to accurately determine the operational status of the devices using image recognition.
Innovation Solution
A robot equipped with a telescopic structure and image capture device that moves to different angles to capture multiple images, which are then stitched or fused to obtain an unobstructed view of the target object, and includes a light filling device to enhance imaging conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single image capture device is used to photograph the indicator light, then the imaging process is simple and fast, but the image may be blocked by the metal door mesh holes making it difficult to accurately determine the operational status
Solution Approach 1:
The imaging task is segmented into multiple image captures from different angles, with each capture focusing on a specific angular sector. The image capture device rotates to divide the full 360-degree viewing range into multiple segments, capturing indicator light information from each sector separately. These segmented images are then synthesized to form a complete view, overcoming the blockage problem while maintaining manageable system complexity.
Solution Approach 2:
The system transitions from a single static viewpoint to a multi-dimensional angular approach. By rotating the image capture device around the target object, the system captures images from multiple angular dimensions (azimuth and elevation angles). This dimensional expansion allows the system to view indicator lights from angles that avoid mesh hole blockages, effectively adding a temporal-angular dimension to the imaging process.
2Loss of information
If multiple images are captured from different angles to overcome blockages, then complete coverage of the target object is achieved, but the imaging time and processing complexity increase
Solution Approach 1:
The image capture device performs periodic rotational movements to capture images at different angles. The rotation follows a predetermined periodic pattern, capturing images at specific angular intervals. This periodic action ensures comprehensive coverage of the target object from multiple angles while maintaining a systematic and efficient imaging sequence, reducing unnecessary captures and optimizing the time required.
Solution Approach 2:
The system captures multiple copies of the target object from different angular perspectives. Each image capture creates a copy of the indicator light information from a specific viewpoint. These angular copies are then synthesized through image fusion algorithms to reconstruct the complete target information, ensuring no information is lost while efficiently processing the multi-angle data.
3Manufacturing precision
If the image capture device is positioned close to the target object, then the detail resolution is improved, but the field of view is reduced and more angles are needed to capture the complete object
Solution Approach 1:
The image capture device employs dynamic positioning capabilities, allowing it to rotate and adjust its angular position relative to the target object. This dynamic movement enables the device to capture high-resolution images from multiple angles sequentially, rather than requiring multiple static capture positions simultaneously. The dynamic angular adjustment optimizes the balance between detail resolution and comprehensive coverage.
Solution Approach 2:
The image capture device is integrated within a rotating mechanism structure, where the capture device is nested inside or mounted on a rotatable platform. This nested configuration allows the capture device to maintain a compact form factor while achieving multi-angle coverage through rotation. The nested structure enables the device to capture complete target information from multiple angles without requiring a large spatial footprint or multiple separate capture positions.
Data Source
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AI summary
A robot (104) and a method of capturing an image applied to the robot (104), an electronic device for implementing the method of capturing the image, and a computer-readable storage medium. The robot (104) includes: a robot body (201); a workbench (202); a telescopic structure (203) having one end pivotally connected to the robot body (201) and the other end connected to the workbench (202); a driving mechanism (204) arranged on the robot body (201) and configured to drive the telescopic structure (203) to extend, retract and/or move relative to the robot body (201); and an image capture device (205) arranged on the workbench (202). The telescopic structure (203) is configured to allow the image capture device (205) to capture an image of a target object from different angles with the extension, retraction and/or movement of the telescopic structure (203). In this way, even in a case that a partial region of the target object is blocked by an occluder, a complete image of the target object may be obtained by, for example, stitching images captured from a plurality of angles.