Self-adaptive Security patrol system based on two-dimensional code

This work uses the embedded system technology, combines the UAV and the QR code, with the open-source computer Vision Library Open CV and the robot operating system ROS, realizes the indoor large-scale place the self-adaptive security patrol. Hardware, the design of Parrot Ardrone 2.0 UAV as a carrier,minnow Board turbot motherboard as an embedded core version of the system. In software, the program of flight control and image processing of UAV is programmed, and the flight control of UAV is realized by PID control algorithm.

The whole system consists of unmanned aerial vehicle, QR code and motherboard, unmanned aerial vehicle is a direct patrol tool, QR code given flight route, the motherboard is placed on the roof of large-scale premises to control the UAV communication. The function of the system is to let unmanned aerial vehicles in the museum and other large places, such as night, patrol, patrol path from the first two-dimensional code given, flight path laying mark points for the correction of the path, different places at different times can be changed by the location of the mark Point to achieve adaptive patrol mode. On patrol, if the drone detects suspicious personnel ahead, it can send a signal to the motherboard immediately, and the motherboard will save the video image while alerting.

In the field of intelligent security, this work has strong adaptability, strong maneuverability and other advantages, with great prospects for development.

This project combined with UAV and two-dimensional code, implements a adaptive security patrol system of large in Door places using Open CV and ROS. We designed a system based on Parrot Ardrone 2.0 UAVs and Minnow Board turbot about hardware. We also made software about UAV flight control and image processing. We Use the PID controller to implement UAV flight control.

The whole system consists of UAVs, two-dimensional code and motherboard. The UAV is a tool to patrol. The two-dimensional code gives flight route. The motherboard is put in the roof of large places to communicate with the UAV. The UAV can patrol when the large place, such as museum, is unmanned. The patrol route is given by the initial two-dimensioned code. Flight path can is adjusted by Mark points. We can implement adaptive patrol by changing the position of Mark points on different places at different times. If The UAV detects suspicious people when on patrol, it'll send a signal to the motherboard and the motherboard would SAV E video and set the alarm.

In the field of security intelligence, this project had strong adaptability, flexibility and other advantages. It has the great prospects for development.

Self-adaptive Security patrol system based on two-dimensional code