Translation is the activity of inter language conversion and the creation of language and its users. Among them, another method is to deal with and adjust the external interference information by using the related convolution network nervous system and special programming program, so as to solve the problem of ambiguity of English characters to a certain extent. In this process, the most important point is to scan the data information for pictures, and then store the data in the next step, which is to a great extent conducive to the smooth development of the follow-up work. By scanning the pictures recorded in English at the computer terminal, we detect and analyze the data contained in them to confirm whether the files are reserved for the relevant data in the stored procedure. We find the corresponding hidden communication path in different sliding windows, and finally find that there are many images with confirmed specific attributes in the hidden channel of the window, which also ensures the optimum of the research results. In the process of finding the hidden track corresponding to the sliding window, we mark the single hidden channel by image scanning and recording, and separate the data by using the names of different attributes, thus facilitating the later information collection. Through further analysis of the research data, we can find that the modified hidden information channel through the limit interval is superior to other kinds of information channels. By comparing the data, we find that the two kinds of scene images are different to some extent. In order to get the data results further, we need to make different attempts. By analyzing the test results, we find that the method can help us to obtain the latest data progress, and also show the advantages of the technology.

翻译是语言间转换以及语言及其用户创建的活动。其中，另一种方法是利用相关的卷积网络神经系统和特殊的编程程序来处理和调整外部干扰信息，从而在一定程度上解决了英文字符的歧义问题。在此过程中，最重要的一点是扫描图片的数据信息，然后将其存储在下一步中，这在很大程度上有利于后续工作的顺利开展。通过在计算机终端扫描以英语记录的图片，我们检测并分析其中包含的数据，以确认文件是否为存储过程中的相关数据保留。我们在不同的滑动窗口中找到了对应的隐藏通信路径，最后发现在窗口的隐藏通道中有许多具有确定属性的图像，这也确保了研究结果的最优性。在查找对应于滑动窗口的隐藏轨道的过程中，我们通过图像扫描和记录来标记单个隐藏通道，并使用不同属性的名称分离数据，从而便于以后的信息收集。通过对研究数据的进一步分析，我们可以发现，经过限制区间修改后的隐藏信息通道要优于其他种类的信息通道。通过比较数据，我们发现两种场景图像在一定程度上有所不同。为了进一步获得数据结果，我们需要做出不同的尝试。通过对测试结果的分析，我们发现该方法可以帮助我们获得最新的数据进展，并显示出该技术的优势。