Telecommunication Equipment Installation Verification by Mobile Imaging
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Solution Overview
Problem
The installation of telecommunication equipment is a difficult and error-prone task due to the complexity of telecommunication networks, with current testing techniques often failing to detect installation and configuration problems until most of the installation is completed, leading to costly and time-consuming diagnostics and unnecessary truck rolls.
Innovation Solution
A mobile device equipped with an image sensor and processor is used to capture images of telecommunication equipment components, comparing them to stored data to evaluate correct installation, utilizing machine learning techniques such as neural networks to identify and verify proper installation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional testing techniques are used to verify installation, then installation errors can be detected, but the testing can only be performed after most installation is completed, leading to time-consuming and costly diagnostics
Solution Approach 1:
The system performs preliminary verification by capturing images of equipment components during the installation process itself, rather than waiting until installation is complete. The mobile device takes photographs of equipment as it is being installed, and the system immediately processes these images to verify correct installation, enabling early detection of errors before they propagate through the network.
Solution Approach 2:
The patent replaces traditional manual testing techniques with automated image-based verification. Instead of using physical testing equipment to verify installation, the system uses a mobile device with camera to capture images, which are then automatically analyzed by processing logic to determine if installation is correct, eliminating the need for time-consuming manual diagnostics.
2Reliability
If photographs are taken to verify installation, then installation correctness can be confirmed, but poor quality photographs (out of focus, wrong angle, missing components) are insufficient for verification
Solution Approach 1:
The system provides immediate feedback to the installer about the quality of captured images. The processing logic analyzes each photograph to determine if it meets verification requirements, and the mobile device provides real-time feedback to the installer about whether the image quality is sufficient or if additional photographs are needed, ensuring only high-quality images are used for verification.
Solution Approach 2:
The system establishes specific parameter thresholds for image quality (focus, angle, completeness) that must be met for verification. The processing logic evaluates images against these predefined parameters and only accepts images that meet the required quality standards, ensuring consistent and reliable verification across all installations.
3Reliability
If manual inspection by dispatching technicians to site is performed, then installation problems can be diagnosed, but this consumes significant time and resources
Solution Approach 1:
The system enables self-service verification where the installer uses their own mobile device to capture images and the system automatically processes these images to verify installation correctness. This eliminates the need for additional technicians to travel to the site for inspection, as the installation verifies itself through automated image analysis.
Solution Approach 2:
The patent introduces an intermediary automated image analysis system between the installer and the final verification decision. Instead of requiring a human technician to physically inspect the equipment, the mobile device captures images and the processing logic acts as an intermediary to automatically analyze these images and determine installation correctness, reducing the need for on-site re-inspection.
4Reliability
If current testing techniques are used, then some installation errors can be detected, but many types of installation and configuration problems remain undetected
Solution Approach 1:
The system transitions from traditional one-dimensional testing (checking individual connection points) to multi-dimensional verification by capturing comprehensive images that show equipment from multiple perspectives simultaneously. The image-based approach allows verification of physical installation, configuration, and connectivity in a single comprehensive view, detecting problems that traditional linear testing methods miss.
Data Source
AI summary
The present disclosure generally relates to systems and methods for ensuring proper installation of telecommunication equipment. A system in some embodiments has a mobile device equipped with an image sensor that is used to acquire one or more images of a telecommunication equipment component that has been installed. The mobile device may then evaluate at least one such image to determine whether the component has been correctly installed. In addition, the evaluation performed by the mobile device may also be used to ensure that a captured image of the component meets certain predefined criteria for helping the user to capture a quality image of the component for the purpose of proving that it has been correctly installed. Thus, it is more likely that the image will be later useful for establishing that the component has been correctly installed, thereby possibly preventing the need for a truck roll.


