Design And Implementation Of Mobile Individual Audio And Video System Management Platform

With the rapid advancement of urbanization,the informatization of public security,traffic police and other departments,the question that how to respond to emergencies in time and quickly and make timely and effective measures is an urgent problem is to be solved urgently.The handheld individual equipment and the supporting video management platform in this paper solve this problem well.As long as we connect the 4G or wireless network,the mobile terminal can meet the mobile monitoring requirements,like the mobile recording,completing real-time upload of data and synchronizing monitoring in the background,which are impossible for traditional monitoring equipment.But another problem arises.When the 4G signal or the network is unstable,the video quality and audio quality of the handheld individual terminal device are often not guaranteed well,and there will be high delay,stagnation,black screen,etc.In the case of this,this may have a series of uncontrollable consequences.Therefore,this paper focuses on how to develop a supporting individual equipment management platform,effectively scheduling the use of individual equipment and how to reduce the network requirements in the case of higher audio and video quality,and conducting research.The main work is as follows:1.This paper introduces the video management platform for building individual equipment based on B/S architecture,analyzes and summarizes the key technologies involved,including Django framework and development technology,AJAX technology.2.This paper analyzes and implements the video surveillance function.For the data processing part of video,a second-level video stream caching mechanism is designed.This mechanism firstly constructs the appropriate filter graph and data transmission format Sample between the filters,and then connects the source filter,transform filter and render filter.When the monitored video stream is transmitted,the video stream is cached in the first filter,then populated with the first level cache from which the video data is transmitted to the next filter.Such a design mechanism can solve the problem of incoherent or even distortion screen caused by the discontinuous video stream of the pushed-in filter when the network is not in good condition.The whole function is developed based on MFC development technology.3.This paper analyzes and implements the voice intercom function,and the overall function is developed using MFC development technology.Among the audio coding part,a Ku algorithm is proposed,which first converts the audio signal into a two-dimensional vector signal by dimensioning,wherein the quantization plane is divided into two parts,and the vector signal dense area is K-means.The class algorithm divides it,and the region where the vector signal is sparse is simply uniform and quantized to obtain the corresponding quantization plane,then compression code.Compared with the traditional G.711 audio coding,the algorithm has the advantages of simplicity and speed,and it can maintain good data scalability and high efficiency when processing large data sets.especially when dealing with voice signals of Gaussian signals,the algorithm has a very good effect.The algorithm is an algorithm for voice intercom function that can satisfy higher sound quality and low network requirements.4.This paper optimize the functions of the platform,reduce memory usage,and test the stability and effect of the function,focusing on the testing of audio and video functions to verify the feasibility of the solution.