Cultural psychology of english translation through computer vision-based robotic interpretation

Abstract

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%.