Visible to the public Software architecture for the application of facial recognition techniques through IoT devices

TitleSoftware architecture for the application of facial recognition techniques through IoT devices
Publication TypeConference Paper
Year of Publication2020
AuthorsMuñoz, C. M. Blanco, Cruz, F. Gómez, Valero, J. S. Jimenez
Conference Name2020 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI)
Date Publishedsep
KeywordsBig Data, biometric encryption, biometrics (access control), data privacy, Encryption, face recognition, facial recognition, facial recognition techniques, facial recognition time, feature extraction, Internet of Things, IoT devices, Metrics, Neural Network, personal data, process control, pubcrawl, Resiliency, Scalability, security of data, Software, software architecture, software architecture proposal, Software measurement, Systematics, Transportation

The facial recognition time by time takes more importance, due to the extend kind of applications it has, but it is still challenging when faces big variations in the characteristics of the biometric data used in the process and especially referring to the transportation of information through the internet in the internet of things context. Based on the systematic review and rigorous study that supports the extraction of the most relevant information on this topic [1], a software architecture proposal which contains basic security requirements necessary for the treatment of the data involved in the application of facial recognition techniques, oriented to an IoT environment was generated. Concluding that the security and privacy considerations of the information registered in IoT devices represent a challenge and it is a priority to be able to guarantee that the data circulating on the network are only accessible to the user that was designed for this.

Citation Keymunoz_software_2020