Evaluation of the Application of Artificial Intelligence Technology in Computers

With the rapid development of network technology, people’s enthusiasm for creating audio and video is growing, and the content of audio and video is becoming increasingly rich. Therefore, how to effectively protect and protect audio and video information in the network environment has become an urgent problem to be solved. Efficient extraction of targeted audio and video data from a large amount of audio and video data is a major issue currently faced by audio and video surveillance. With the rapid improvement of Artificial Intelligence (AI) chip processing capabilities, AI technologies such as machine learning and deep learning have also developed rapidly. Among them, deep learning has been widely applied in research such as computer vision and speech analysis. On this basis, this paper constructed an audio content oriented automatic identification system combining machine vision and sound analysis technology in deep learning. Through system identification testing of this method, it was found that the identification degree of photo 6 was the best, with an identification degree of 98%. Among all the experiments, photo 3 had the highest recognition rate, reaching 88%. Among them, photo 7 had the best recognition effect on LFW, with a recognition effect of 97%. Therefore, using AI technology on computers was very meaningful.