Design Of Embedded Automobile Intelligent Anti-theft System

In recent years,as China's automobile consumption heats up gradually,the number of stolen vehicles has also increased year by year,which has increased social unrest and inharmonious factors.At present,there are many types of automobile anti-theft products on the market,but these anti-theft products all have some shortcomings as bad anti-theft effect,limited alarm distance,high false alarm rate.With the rapid development of technologies such as wireless sensor network technology,embedded technology and biometrics,new ideas and means are provided for the design of new-type automotive intelligent anti-theft systems.First of all,this article analyzes several common situations in which cars are stolen,analyzes the behavior of robbery vehicles based on these situations,and then proposes the overall needs of the anti-theft system;according to the requirements,several key technical solutions are designed after compared the performance.A new type of automobile intelligent anti-theft system combined with wireless sensor network technology and embedded face recognition technology was proposed.Second,use modular design principles to design system hardware.The hardware system design includes sensor acquisition and transmission node design and vehicle controller design.The sensor acquisition and transmission nodes include the sensor module,the ZigBee transmission module and the collection node floor.The vehicle controller includes the GSM/GPRS module,the GPS module,the USB camera and the ARM main control board.Finally,the hardware system was tested.Then,adopt the hierarchical and modular software design idea to design the overall software solution of the car anti-theft system.According to different platforms,the software design is divided into the acquisition and transmission layer,the vehicle controller layer and the remote monitoring layer.The acquisition and transmission layer mainly includes two functions of ZigBee networking and data acquisition and upload;the onboard controller layer adopts the Linux operating system,and the ZigBee coordinator data reception and processing,GPS data reception and processing,and SMS alarm are developed through multitasks,network communication,face recognition authentication module and reverse control and other functions,face recognition module using face classifier for face detection,using local binary patterns histograms algorithm for face recognition,and detection The recognition performance was optimized;the remote monitoring layer designed and developed a car anti-theft monitoring platform on the cloud server.Users can query the real-time vehicle status,reverse control,and Baidu map real-time positioning.Finally,the overall function of the vehicle intelligent anti-theft system was tested and verified.Including data acquisition and transmission functions,SMS alarm function,face recognition authentication function,and monitoring.The platform function,Baidu map positioning display function,etc.The test results show that this system can meet the design requirements of the car anti-theft system.