使用挤压和激励残差网络的基于手势的自动门安全系统

Surya Prihanto, Nazrul Effendy, Nopriadi Nopriadi
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引用次数: 0

摘要

病毒的传播途径有很多:一种是通过空气中的飞沫传播,另一种是通过多个物体的接触传播。这可能发生在任何地方,包括房屋入口或进入房间或保管箱的通道。导致 Covid-19 等疾病的病毒传播已造成许多人员伤亡,今后仍有可能出现类似情况。要降低病毒导致疾病传播的几率,需要做几件事,包括开发非接触式安全支持方法。本文提出了一种利用挤压和激励残差网络(SE-ResNet)进行手势识别的安全系统。这项研究为自动门系统提供了一个使用 SE-ResNet 和残差网络(ResNet)的手势识别系统。
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Hand gesture-based automatic door security system using squeeze and excitation residual networks
Viruses can be transmitted due to various aspects; one spreads through airborne droplets or the touch of multiple objects. This can occur in any area, including the entrance to the house or access to a room or deposit box. The spread of viruses that cause diseases like Covid-19 has caused many human casualties, and there is still the possibility of similar conditions appearing in the future. Several things need to be done to reduce the chances of spreading disease due to viruses, including developing contactless security support methods. This paper proposes a security system using hand gesture recognition using squeeze and excitation residual networks (SE-ResNet). This research offers a hand gesture recognition system for an automatic door system using SE-ResNet and the residual network (ResNet).
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