The Design And Implement Of The Bus’ S Cash Register Security Monitoring System

As china’s economic development, the public transportation is booming. As a kind of public transportation in the most common, the bus plays the most fundamental role in promoting the development of the city. The phenomenon of someone steal fare sometimes occurs in the operation process, which brings economic losses to the bus company. Safety of bus has been paid more and more attention in the operation process. Therefore, it is necessary to develop a intelligent security video monitoring system of real-time monitoring on the bus, which is also important to the development of advanced public traffic.Based on the digital image processing technology, combined with the related knowledge in the field of artificial intelligence, machine learning and computer vision, put forward the cash register of bus security monitoring system. The system is designed to solve the real-time monitoring of suspected theft, develop the real-time security monitoring alarm function for the huge number of buses. The system obtains a variety of information from the video through moving target detecting, segmentation and tracking,gives the quantitative calculation results through the analysis and judgment to the characteristic for the suspected theft behavior, and alarm. System combines the background different algorithm based on Gaussian mixture mode and the inter-frame different algorithm to detect the moving object, and obtained target segmentation using skin model algorithm, image enhancement and mathematical morphology method, to track the object by tracking the blob, gets characteristic information of the object by comprehensive judgment, gives the characteristic parameter of suspected theft. The system can accurately determine the suspected theft behavior.Finally the whole anti-theft monitoring system was tested, the results show that the system can process data fast and has high accuracy, can accurately detect the suspected theft to the bus register, can be applied to identify suspected theft of cash register in advanced public transportation system.