Intelligent monitoring system

Abstract

The invention provides an intelligent monitoring system. The system comprises a camera shooting device, a control device and a prompting device; the camera shooting device is arranged in a monitoringarea and used for collecting an image of the monitoring area and processing the image on the basis of super-pixels; the control device is connected with the camera shooting device and the prompting device; a reference image of the monitoring area is pre-stored in the control device; the reference image is an image collected when no person exists in the monitoring area; the control device controlsthe camera shooting device to collect the image of the monitoring area every half hour, compares the image processed by the super-pixels with the reference image, and if the image of the monitoring area is not matched with the reference image, sends prompting information to the prompting device; and the prompting device comprises a voice player and a displayer which are used for broadcasting a voice and displaying the prompting information respectively. The intelligent monitoring system has the beneficial effects that the intelligent monitoring system is provided; and accurate monitoring and timely prompting of the monitoring area are realized.

Description

technical field [0001] The invention relates to the technical field of monitoring, in particular to an intelligent monitoring system. Background technique [0002] With the development of science and technology and the progress of society, monitoring becomes more and more important. In order to achieve accurate monitoring, image processing technology is very important. [0003] Image processing generally uses pixels as the basic unit of processing. For a 128×128 image, the number of pixels reaches 16384. This value is very large, which leads to a very high time complexity of the algorithm. If some pixel points satisfying specific conditions are formed into a set, and these sets are used as the basic unit of processing, the time required by the algorithm will be greatly shortened. Image over-segmentation is an image segmentation technique. The difference is that image over-segmentation is to divide an input image into more smaller non-overlapping regions, and each small regi...

AI Technical Summary

Problems solved by technology

[0003] Image processing generally uses pixels as the basic unit of processing. For a 128×128 image, the number of pixels reaches 16384. This value is very large, which leads to a very high time complexity of the algorithm.

Images