HomeID:使用物联网和深度学习算法的家庭访客识别

K. Guravaiah, Gorinka Rithika, S. Raju
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引用次数: 2

摘要

如今,保护你的房子不受未经认证的人或小偷的伤害是至关重要的。为了确保家庭安全,研究人员考虑了不同的方法。本文利用物联网和图像处理技术对房屋进行安全保护。该系统在深度学习算法的帮助下实现,如用于人脸检测的MTCNN(多任务级联卷积神经网络)和用于人脸识别的faceet。这些算法会在有人来访时进行检查,捕捉访客的图像,并将这些图像与数据库图像进行处理,然后通知房屋所有者。然后所有者可以监视这些人,并提醒他们的家人这一点。
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HomeID: Home Visitors Recognition using Internet of Things and Deep Learning Algorithms
Nowadays, it is essential to secure your house from unauthenticated persons or thieves. To secure the home, different kind of approaches are considered by researchers. In this paper, securing the house with the help of Internet of Things and image processing techniques. The Proposed system implemented with the help of deep learning algorithms such as MTCNN (Multi-task cascaded convolutional neural network) for face detection and facenet for face recognition. These algorithms will check whenever any person is visiting a house, capture the images of visitors and process those images compared with database images and inform to owner of the house. Then owner can have a eye on those people as well as alert their family members about this.
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