Method for monitoring connection correctness of oil discharging pipe based on multi-camera linkage
A multi-camera, correctness technology, applied in neural learning methods, television, biological neural network models, etc., can solve problems such as high labor cost, high risk of error, and inability of superior leaders to supervise and manage, so as to facilitate supervision and management, reduce The effect of human cost
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[0037] Such as figure 1 As shown, the present invention is a method for monitoring the correctness of the oil discharge pipe connection based on multi-camera linkage, including:
[0038] S1: Set up several monitoring devices in the unloading area of the gas station, collect data from the tanker and the local oil depot through the monitoring devices at different angles to obtain unloading videos, and obtain unloading images based on the unloading videos;
[0039] S2: Detect the oil unloading image through the convolutional neural network to obtain the oil unloading interface and the interface connecting pipeline; mark the oil type on the oil unloading interface to obtain the marking result of the oil type;
[0040] S3: Analyze and extract the interface connection pipeline through the convolutional neural network to obtain the characteristics of the interface connection pipeline. According to the extracted interface connection pipeline features, match the same pipeline under d...
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