Multi-feature and multi-threading security inspection contraband automatic identification method based on machine learning

Abstract

The invention relates to the technical field of computer vision, in particular to a multi-feature and multi-threading security inspection contraband automatic identification method based on machine learning. The multi-feature and multi-threading security inspection contraband automatic identification method comprises the steps of: step A, training an Adaboost classifier, wherein target samples are collected, the target samples are preprocessed and subjected to detection and classified identification after feature extraction, thus a strong classifier is obtained; and step B, automatically identifying security inspection contraband, wherein X-ray images of security inspection monitoring are read in, the X-ray images are subjected to PDE denoising pretreatment, parallel edge textures are scanned, parallel feature extraction and classified identification are carried out by utilizing LBP+HOG features and the strong classifier obtained in the step A, and an identification result is output. The multi-feature and multi-threading security inspection contraband automatic identification method solves the problems that phenomena such as wrong inspection and missing inspection are caused by carelessness because the security inspection personnel is tired after monitoring a screen for a long time, the security inspection personnel needs to be on duty for a long time, manpower is wasted and the efficiency is low, greatly improves the working efficiency and reduces manpower cost.

Description

【Technical field】 [0001] The invention relates to the technical field of computer vision, relates to a security inspection monitoring technology, in particular to a machine learning-based multi-feature multi-thread security inspection contraband automatic identification method. 【Background technique】 [0002] At present, in order to prevent terrorist activities, smuggling crimes and other incidents that seriously endanger public safety, airports, stations, subways, docks or other crowded public places with large flows are equipped with security checks for personnel and their luggage. device of. Among them, most of the equipment for security inspection of personnel and their luggage is a security inspection machine with X-ray imaging equipment. Most of the existing security inspection monitoring methods use X-ray imaging equipment to obtain images of people or luggage, display the X-ray images on the display, and then screen the images with the naked eyes of security personn...

AI Technical Summary

Problems solved by technology

The above-mentioned method has the following problems: first, using the above-mentioned method to check the X-ray images on the spot by the security personnel to find out whether there are security check contrabands and whether there are safety hazards, it is easy to cause fatigue due to long-term monitoring of the screen, and it is also easy to cause negligence. Occurrence of false detection, missed detection, etc.

Secondly, using the above method to detect and check requires security personnel to be on duty for a long time, which consumes manpower and is less efficient

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