Application of Virtual Reality Technology and Convolutional Neural Network in Training Simulation Scenarios

Virtual reality technology (VR) and convolutional neural network (CNN) are two cutting-edge technologies, and their combined application in training simulation scenarios is becoming more and more widespread. This article introduces the idea of using convolutional neural networks for virtual training. The combination of RaspberryPi3b+ and CIS camera is used as the hardware structure of the training simulation scene system. This paper uses cameras to collect relevant image data in the room. We use computer systems to determine training simulation scene image data. Virtual training is carried out based on the judgment results. The system uses STM32F103C8T6 as the main control chip. And the training simulation scene system was designed with sound control, image, font and other functional modules. Among them, the identification of training personnel's goals is achieved through steps such as image preprocessing, feature extraction, and matching and recognition. Practice has proven that this method can effectively improve the accuracy of training. This technology can simulate various actual operating environments, provide users with a real operating experience, and effectively improve their operating skills.