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The Utilization of Cloud Computing for Facial Expression Recognition using Amazon Web Services

机译:使用Amazon Web服务利用云计算对面部表情识别的影响

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Face-to-face communication is a form of interaction that are done by every people, but it is hard to be implemented for blind person, especially for them to recognize their interlocutors’ facial expression. Hence, a device is needed for recognizing facial expression, so blind people could recognize their interlocutors’ facial expression clearly and those expressions converted into non-verbal information in type of sound.This research will use embedded device designed for machine learning called AWS DeepLens, which purposed for looking the performance of the device when using Amazon Web Services (AWS) cloud computing services for AI-trained model and compare it to on-premises deep learning. The device’s outputs will inform facial expression information to the user via sound. Deep learning algorithm success will be measured in confusion matrix and its average rate is 76,16%. This proposed device utilizes cloud computing system from AWS, with objectives of system robustness and real-time usage.
机译:面对面的沟通是一种互动形式,每个人都完成,但难以为盲人实施,特别是他们识别他们的对话者的面部表情。因此,需要一种设备来识别面部表情,因此盲人可以清楚地识别他们的对话者的面部表情,并且这些表达式转换为声音类型的非口头信息。这项研究将使用专为机器学习而设计的嵌入式设备,称为AWS Deeblens,它在使用AI培训的模型使用Amazon Web服务(AWS)云计算服务时寻找设备的性能,并将其与本地深度学习进行比较。设备的输出将通过声音向用户通知面部表达信息。深度学习算法的成功将以混淆矩阵测量,其平均速率为76,16%。该建议的设备利用AWS的云计算系统,具有系统鲁棒性的目标和实时使用。

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