Method and system for realizing intelligent detection of construction isolation fence based on depth learning

Abstract

The invention relates to a method and a system for realizing intelligent detection of construction isolation fence state based on depth learning technology, the method includes: acquiring a real-timeimage as a monitoring image from a video monitoring system, establishing a depth neural network model for classifying the construction isolation fence states, monitoring and processing the construction isolation fence, classifying the monitored images and classifying and judging the states, and starting an alarm for the abnormal states found by the construction isolation fence. The method and thesystem for intelligently detecting the state of the construction isolation fence based on the depth learning technology can accurately distinguish the normal state from the abnormal state of the construction fence. When the depth neural network model is trained, the classification and detection of construction isolation fence only need non-iterative forward operation, which can meet the requirements of real-time detection. The intelligent detection method of the construction isolation fence state provided by the invention has the advantages of fast operation speed and high detection precision,so that the timeliness of the alarm can be ensured and the hidden danger of the construction can be strictly prevented.

Description

technical field [0001] The present invention relates to the field of construction safety precautions, in particular to the field of intelligent monitoring, and specifically refers to a method and system for intelligently detecting the status of construction isolation fences based on deep learning technology. Background technique [0002] In some maintenance and construction processes, construction isolation fences are usually placed to isolate the construction site to warn non-related personnel to stay away from the construction site, thereby avoiding safety accidents. [0003] If you forget to place the construction isolation fence on the construction site or the construction isolation fence is in a downed state, it may cause other on-duty personnel or non-related construction personnel to break into the construction forbidden area, and in extreme cases, it will cause very serious casualties. Therefore, abnormal detection of construction isolation fence status is a very imp...

AI Technical Summary

Problems solved by technology

However, in the video surveillance system, the monitoring depth of field, lighting conditions, and monitoring angle of view of the camera are often not fixed. Not high, there will be many misjudgments or missed judgments in the judgment of abnormal states, and there are still potential safety hazards in the daily operation of the right

Images