Emotion Detection IoT enabled Edge-node for Citizen Security

Bhattacherjee, Subhra Shankha and Sanju Kumar, N T and P, Rajalakshmi (2019) Emotion Detection IoT enabled Edge-node for Citizen Security. In: 5th IEEE World Forum on Internet of Things, WF-IoT, 15-18 April 2019, Limerick, Ireland.

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In this paper, we have proposed a novel architecture for citizen security using deep learning based edge computing device. The proposed system comprises of an end-device which can be connected to every street light pole in an area. The gateway device can be connected at a large distance from the end-devices. LoRa physical layer is used as the main communication interface which enables large distance transmission. CNN based algorithm is used to identify the expression of the person who pressed the panic button on the device to reduce false alarm. A very low complex Convolutional Neural Network (CNN) architecture has been developed, to recognize the expression on the end device itself. A data logging server is used for logging the node-id everytime it is pressed. An android application is also developed which shows the real-Time location of the pressed node and provides navigation routes to reach that node.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Indexed in Scopus
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 11 Nov 2019 08:49
Last Modified: 11 Nov 2019 08:49
URI: http://raiith.iith.ac.in/id/eprint/6954
Publisher URL: http://doi.org/10.1109/WF-IoT.2019.8767173
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