An efficient framework using visual recognition for IoT based smart city surveillance

Smart city surveillance systems are the battery operated light weight Internet of Things (IoT) devices. In such devices, automatic face recognition requires a low powered memory efficient visual computing system. For these real time applications in smart cities, efficient visual recognition systems...

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Detalles Bibliográficos
Autores principales: Kumar, Manish, Raju, Kota Solomon, Kumar, Dinesh, Goyal, Nitin, Verma, Sahil, Singh, Aman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
1194: Secured and Efficient Convergence of Artificial Intelligence and Internet of Things
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816836/
https://www.ncbi.nlm.nih.gov/pubmed/33495686
http://dx.doi.org/10.1007/s11042-020-10471-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816836/
https://www.ncbi.nlm.nih.gov/pubmed/33495686
http://dx.doi.org/10.1007/s11042-020-10471-x

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