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Recognition system object classes by artificial vision to improve communication skills in people with language disorders

机译:通过人工视觉识别系统对象类别,以提高语言障碍患者的沟通能力

摘要

The system aims at implementing recognition algorithms classes of objects in images to improve communication skills in people with language disorders. This requires a system image capture (1), in charge of obtaining the image to be processed by a module that implements a system for locating classes of objects in images (2), which is based on artificial vision techniques used . This module (2) provide a visual output (3) in which the recognized classes of objects in the image are boxed. The system will interact with the user (4), offering localized information object or question him on it so that it is he who enter the information on the recognized class. In this second mode, the system will inform the user if the exercise was completed successfully.
机译:该系统旨在实现图像中对象的识别算法类别,以提高语言障碍者的沟通能力。这需要系统图像捕获(1),该系统图像捕获(1)负责获取由模块实现的模块,该模块实现了基于所使用的人工视觉技术在图像中定位对象类别的系统(2)。该模块(2)提供视觉输出(3),其中将图像中识别的对象类别装箱。该系统将与用户(4)交互,提供本地化的信息对象或对其进行询问,以便由他输入有关已识别类别的信息。在第二种模式下,系统将通知用户锻炼是否成功完成。

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