Terahertz dangerous article detection method based on depth learning

Abstract

The invention discloses a terahertz dangerous article detection method based on depth learning. The terahertz dangerous article detection method comprises steps that a dangerous article sample image database is established, and images are processed to be gray level images, which have the same size suitable for training and testing; a CNN neural network model is trained, and a final network model is generated and tested; dangerous article detection is carried out, and terahertz equipment is used to acquire terahertz images of to-be-detected objects are acquired, and the CNN neural network modelis used to detect the terahertz images of the acquired to-be-detected objects, and then detection results are acquired; and at the same time, the terahertz images of the acquired to-be-detected objects are added to the dangerous article sample image database. The CNN neural network is directly used for the training and the learning of the sample images, and complexity of selection of network parameters is reduced, and the obvious characteristics of the sample image data can be directly learned, and therefore problems of image classification and mode identification can be solved; working efficiency of security staff can be improved, workload of workers can be reduced, and the abovementioned method and the abovementioned device are suitable for security check of large flow of people.

Description

technical field [0001] The invention belongs to the field of dangerous goods detection methods, in particular to a terahertz dangerous goods detection method based on deep learning. Background technique [0002] The serious threat to public security by extremist organizations and extremists has become a serious problem faced by the security departments of various countries. The public security situation in our country is also not optimistic, and there have been many major public security incidents aimed at retaliating against society. Public safety is a major issue involving the vital interests of the people's lives, health, and property safety. All kinds of public security incidents have changed, showing many new characteristics such as suddenness, concealment, and complexity. Security inspection of personnel in important public places and public transportation stations is one of the most important means to prevent public safety incidents. The current general security ins...

AI Technical Summary

Problems solved by technology

The existing detection methods have a high error rate for the detection of dangerous objects in terahertz images, and are not suitable for the detection of dangerous objects in terahertz images.

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