Computer Vision-based English translation approaches pledge robots to master complicated functions. Conversely, the debate remains unanswered as to how to extend persuasion skills to real-world relationships. The stable operation of robots in English translation is an upcoming development in the educational field. The development of science and technology in the form of robots helps in computer vision technology for object detection and learning. In education, the usage of advanced technology is still facing challenges in English translation based on the computer vision of robots. In the article, researchers investigate robotic simulation, movement identification, and target tracking in computer vision, learning from one illustration of the third person's perspective. Researchers consider using a previous information basis like a text repository to deduce the feature to be dealt with as part of a robot to promote its generalization through object detection and learning. A Robot translation based on computer vision of English translation (RT-CV) framework is proposed in the research. Robots' word recognition, facial expression, speech, and movement are captured and based on computer vision; the translation is permitted with the basic functions. RT-CV is implemented in real-world applications with manipulative functions with generalized outcomes. The results are obtained as emotional interaction with robots’ ratio is 87.6%, improving computer vision ratio is 88.7%, the Estimation of translating speed ratio is 84.5%, the efficiency of English translation ratio is 93.8%, and anxiety reduction through communication ratio is 82.2%.

基于计算机视觉的英语翻译方法保证机器人掌握复杂的功能。相反，关于如何将说服技巧扩展到现实世界的关系中的争论仍然没有答案。英语翻译机器人的稳定运行是教育领域即将发展的课题。机器人形式的科学技术的发展有助于计算机视觉技术的物体检测和学习。在教育领域，基于机器人计算机视觉的英语翻译，先进技术的运用仍面临挑战。在这篇文章中，研究人员研究了计算机视觉中的机器人模拟、运动识别和目标跟踪，并从第三人称视角的一个例子中学习。研究人员考虑使用文本存储库等先前的信息基础来推断机器人要处理的特征，以通过对象检测和学习来促进其泛化。研究提出了一种基于计算机视觉英语翻译（RT-CV）框架的机器人翻译。机器人的文字识别、面部表情、语音和动作被捕获并基于计算机视觉；基本功能允许翻译。RT-CV 在现实世界的应用中实现，具有具有广义结果的操纵功能。结果显示，与机器人情感互动比例为87.6%，提高计算机视觉比例为88.7%，翻译速度预估比例为84.5%，英语翻译效率比例为93.8%，通过沟通减少焦虑比例为82.2%。