Intelligent in-situ recognition system and method for electronic fence based on image matching

Abstract

The invention discloses an intelligent in-situ recognition system and method for an electronic fence based on image matching. The system comprises front end information obtaining equipment, an image collection card, and an upper computer. The front end information obtaining equipment comprises a CCD camera and a light source, and is connected to the image collection card. The image collection cardis connected with the upper computer. The upper computer comprises a client, an image processing module, and a decision output module. The client is connected to the image processing module, and is connected with the CCD camera. The image processing module outputs data to the decision output module. The system is based on a Hu invariant moment and an improved BP neural network, and carries out the in-situ recognition of an object based on the morphological characteristic matching. The image processing module carries out the determining of the electronic fence, the image processing, the extraction of the Hu invariant moment and the training of the BP neural network, and a maturely trained BP classifier is used for the in-situ classification and recognition of the object, and outputs a result to the decision output module. The system is simple in structure, is suitable for most of scenes, and can achieve the quick in-situ recognition of the object in the electronic fence.

Description

technical field [0001] The invention relates to the field of electronic fence monitoring and computer image processing, in particular to an image-matching-based intelligent on-site recognition system and a recognition method for an electronic fence, which is suitable for object on-site classification and recognition in most scenarios. Background technique [0002] With the advancement of social science and technology, human production behaviors and lifestyles are also constantly developing and changing, new technologies and new products are constantly emerging, and a large number of life and production activities occur, making intelligent monitoring and identification systems increasingly required by people. The real-time monitoring of a specified area to ensure on-site safety or identify various activities in the monitored area is inseparable from the support of electronic fence technology. Traditional and common electronic fences generally use photoelectric sensors to form...

AI Technical Summary

Problems solved by technology

Many systems can no longer correctly identify the target when

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