Research Of Applying Image Detection Technology In Smart Home

Smart Home is a intelligentized home living environment. Compared withtraditional home design, it can improve the safety, convenience, comfort and artistryof the home and protect the environment and save the energy. As an important part ofthe smart home system, security monitoring system is directly related to propertysafety and personal safety of the people, and its degree of intelligence has caught a lotof attention from the people. Based on the importance of security monitoring, thispaper elaborates on integrating image detection technology into security monitoringsystem, and designs home security monitoring system for triggering burglar alarms.Firstly, this paper introduces the concept and components of smart home system,proposes the advantage of monitoring based on image detection technology comparedwith existing deficiencies current home security monitoring in terms of cost and levelof intelligence. With designing embedded home security monitoring system as thegoal, this paper analyzes and simulates the key technology of moving target detection,human body detection, and face detection so as to formulate the realiza tion plan forthe whole system.A systemetic plan is made to suit the brandwidth of data transmission and datastorage ability in the embedded systemic. Program: monitor moving target within themonitoring area; Once find a moving object, human body detection is carried out todetermine whether exceptional conditions are due to breaking in of the illegal; afterdetermining the presence of an intruder, video images will be recorded and picturesdetected will be sent to the head of the household through MMS, through thejudgment of the head of the household, reasonable judgment will be made about theexceptional situation; in addition, face detection is used for subsequent extraction ofevidence to help relevant staffs locate the face of the person in the vi deo and improvethe efficiency of evidence extraction.According to the design principles and function requirements of securitymonitoring system, this paper illustrates the design of hardware architecture regardingSamsung S3C6410as the core. Linux system and OpenCV library are transplanted inMini6410hardware platform; design drivers include camera driver and LCD displaydriver; applications include real-time detection procedures and alarm notificationprocedures. In addition, we can deploy video forensics module on the PC for video retrieval.Finally, this paper discusses the test program and analyzes the test result. Thetest result shows that the system has a good detection result for slow speed or normalspeed walking people.