Image Recognition for Antenna Port Cable Connection Verification
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Solution Overview
Problem
Manual connection and testing of RF cables to telecommunications network equipment, such as base station antennas, are time-consuming and prone to errors, leading to potential delays and improper equipment deployment due to misconnections.
Innovation Solution
A method using image recognition to detect and identify cable connections to antenna ports, allowing for automatic configuration of an RF switch and subsequent testing, including return loss, isolation, and radiation pattern testing, utilizing color-coded collars and machine vision to ensure accurate cable placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual cable connection methods are used, then operators can connect cables to ports, but the process is time-consuming and prone to human error
Solution Approach 1:
The patent replaces manual mechanical cable connection operations with an automated optical recognition system. A camera captures images of cable connections, and image processing algorithms automatically identify and verify cable-to-port mappings, eliminating the need for manual visual inspection and connection verification by operators.
Solution Approach 2:
The patent creates a digital copy of the physical cable connection state through image capture. The camera system generates image data that replicates the visual information of cable connections, which is then processed to extract connection information, replacing the need for direct physical inspection.
2Reliability
If operators manually test equipment with multiple ports, then testing can be performed, but the process causes operator delays and increases the risk of misconnection
Solution Approach 1:
The system enables self-service automated testing by having the equipment under test communicate its own port configuration and connection status. The device provides image data of its own cable connections, and the system automatically processes this data to configure the RF switch and initiate appropriate tests without requiring operator intervention for each connection verification step.
Solution Approach 2:
The patent implements a feedback loop where the image recognition system continuously monitors cable connections and provides real-time information to the testing system. This feedback enables dynamic adjustment of test configurations and immediate detection of connection errors, allowing the system to adapt to actual connection states rather than relying on predetermined configurations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces human error, saves time during installation and testing, and ensures the accuracy of cable connections, thereby improving the efficiency and validity of equipment testing and deployment.
Implementation Method 1
detecting, using image recognition, connections of cables to respective ports of an antenna
Data Source
AI summary
Methods that include detecting cables connected to telecommunications network equipment are provided herein. In particular, a method that includes detecting connections of respective cables to ports of telecommunications network equipment may be performed using image recognition. Moreover, in some embodiments, the method may include detecting, using image recognition, respective positions of the ports. Related systems are also provided.