Method for monitoring safe operation of airport apron through video analysis and deep learning

Abstract

The invention discloses a method for monitoring safe operation of an airport apron through video analysis and deep learning. The method comprises the steps of matching a corresponding aircraft and airport apron information according to the flight numbers and the airport apron information, and monitoring the safety of the aircrafts on the airport apron by combining airport flight operation guarantee standards and civil airport operation safety management regulations through a video analysis algorithm, thereby guaranteeing that the aircrafts can be operated according to the specified flows and ensuring the safety of the operation of the aircrafts. And when the violation is found, the alarm is given immediately, and the screenshot and the short video corresponding to the alarm can be viewed through the alarm prompt, thereby ensuring that the violation items can be dealt immediately and processed in time.

Description

technical field [0001] The invention relates to an apron safety operation monitoring method based on video analysis and deep learning. Background technique [0002] At present, there are a large number of aircraft taking off and landing at the airport every day. According to the requirements of the Civil Aviation Administration, the aircraft must strictly abide by the corresponding safety regulations after landing at the airport, entering the aircraft stand, and leaving the aircraft seat before taking off. When there may be hidden dangers, it is necessary to call the police in time, and record and count the events. Although surveillance cameras are installed in most of the aircraft positions, the monitoring of traditional cameras is still done manually. One worker needs to monitor multiple cameras at the same time, which can easily lead to missed inspections. More often, when violations, Call the corresponding video for backtracking after omission or accident, and it is imp...

AI Technical Summary

Problems solved by technology

Although surveillance cameras are installed in most of the aircraft positions, the monitoring of traditional cameras is still done manually. One worker needs to monitor multiple cameras at the same time, which can easily lead to missed inspections. More often, when violations, Call the corresponding video for backtracking after omissions or accidents, and it is impossible to call the police in time

In addition, manual monitoring cannot record, count and warn each aircraft operation step, and cannot effectively or efficiently obtain the operation status of each flight, whether there are illegal operations, etc.

Because the video data takes up a lot of space, it can only be stored for a maximum of 90 days, causing the problem that it cannot be traced back after the expiration date

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