A Novel Framework of Smart Security System Based on Machine Learning Techniques
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67192-0_18
Reference20 articles.
1. Habiba, U., Awais, M., Khan, M., Jaleel, A.: An inexpensive upgradation of legacy cameras using software and hardware architecture for monitoring and tracking of live threats. IEEE Access 8, 40106–40117 (2020). https://doi.org/10.1109/ACCESS.2020.2964778
2. Majumder, J., Izaguirre, J.A.: A Smart IoT Security System for Smart-Home Using Motion Detection and Facial Recognition. In: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1065–1071 (2020). https://doi.org/10.1109/COMPSAC48688.2020.0-132
3. Abaya, W.F., Basa, J., Sy, M., Abad, A.C., Dadios, E.P.: Low cost smart security camera with night vision capability using Raspberry Pi and OpenCV. In: 2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), pp. 1–6 (2014). https://doi.org/10.1109/HNICEM.2014.7016253
4. Erkan, F., Özçalık, H.R., Yılmaz, Ş.: Designing a smart security camera system. In: 2015 23nd Signal Processing and Communications Applications Conference (SIU), pp. 1705–1708 (2015). https://doi.org/10.1109/SIU.2015.7130181
5. Somani, S., Solunke, P., Oke, S., Medhi, P., Laturkar, P.P.: IoT Based Smart Security and Home Automation. Fourth Int. Confer. Comp. Commun. Contr. Automat. (ICCUBEA) 2018, 1–4 (2018). https://doi.org/10.1109/ICCUBEA.2018.8697610
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