Multifunctional Home Intelligent Security System Based On Image Processing

At present,with the construction and development of intelligent cities and peaceful cities,as well as the improvement of people's own quality of life,people pay more and more attention to personal safety and property safety?The concept of national security has basically formed.Today,the security civil market is huge,unlimited potential,major security enterprises are eager to improve product competitiveness.Based on the advantages and disadvantages of the existing civil security products and small-scale monitoring system,a multi-functional remote monitoring and home intelligent security system based on image processing is designed with video surveillance,artificial intelligence detection and intrusion alarm as the breakthrough point.Firstly,the paper compares the development status of home security systems at home and abroad,and analyzes the shortcomings of domestic family security systems.Secondly,it analyzes the requirements and structure design of the system from two aspects of function and performance,and clarifies the main research contents and design indicators of the paper.The system obtains video data of the monitoring area through the video acquisition module,and parses the video data into a frame image.Then,by using image processing,wavelet analysis and artificial intelligence technology,combined with various characteristics of the detection object,four kinds of fire prevention and anti-theft algorithms are designed,including personnel detection,regional invasion,smoke detection and flame detection.The system analyzes the image data obtained by the acquisition module in real time to determine whether an abnormal event has occurred.If an abnormality is detected,the system will perform local sound and light alarm,remote alarm,community and police linkage alarm through hierarchical alarm mechanism according to the user's configuration information,so that the dangerous situation can be handled and controlled in time to reduce the family loss.The system has designed a home-level storage mechanism.By deep processing and compression of each frame of image,the abnormal information can be saved as pictures or videos of specified format and size when abnormal occurrence is detected.This paper introduces the design of system test environment and test scheme in detail,and tests the system modules one by one from two aspects of system function and performance.It has been proved that the intelligent security system can monitor the four-way video simultaneously on the home PC through reasonable optimization algorithm and program design.The detection accuracy of fire prevention and theft prevention algorithm is over 90%,and the alarm delay is less than 5seconds.The performance of the algorithm is superior to the domestic home security standards and the relevant standards of American security industry.The test results show that this set of home security system has met the design requirements of the system,solved the problems of single function,low performance and difficult system integration of domestic products.It has extremely high economic and social benefits and is worthy of promotion and use.