Intelligent Capture and Analysis of Data Stream Images of Rural E-Commerce Live Broadcast Platform based on Deep Stochastic Neural Network

Intelligent capture and analysis of data stream images of rural e-commerce live broadcast platform based on deep stochastic neural network is the focus of this study. In the designed data stream image analytic model, statistical analysis of the encryption algorithm is carried out. By analyzing the histogram of the encrypted image, the correlation of adjacent pixels, and the information entropy, the confusion and diffusion performance of the algorithm and the ability to resist statistical attacks are tested. The key point of FPGA for image processing is that it can perform real-time pipeline operations to achieve the highest real-time performance. Hecne, the hardware optimization combining the deep stochastic neural network is discussed. The application scenario is selected to be rural e-commerce live broadcast platform. Therough the experimental analysis, the performance is validated.