2021
DOI: 10.36227/techrxiv.14571837.v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Neural Networks based solution for Door Automation

Abstract: Face Recognition is one of the most common biometric strategies which has gained popularity because of the accuracy and security. This paper presents the implementation of a Convolution Neural Network architecture for door automation. This model is devised to overcome the disadvantages of a traditional door system and other methods such as door automation using Bluetooth, figure prints, passwords, or retinal scans. It allows the authorized people to gain access to the house by face recognition. The propos… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 3 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?