| Title | Two-point security system for doors/lockers using Machine learning and Internet Of Things |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Jeste, Manasi, Gokhale, Paresh, Tare, Shrawani, Chougule, Yutika, Chaudhari, Archana |
| Conference Name | 2020 Fourth International Conference on Inventive Systems and Control (ICISC) |
| Date Published | Jan. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-2813-9 |
| Keywords | Android studio, composability, face recognition, Fingerprint authentication, Google firebase, IoT, middleware, policy-based governance, pubcrawl, resilience, Resiliency |
| Abstract | The objective of the proposed research is to develop an IOT based security system with a two-point authentication. Human face recognition and fingerprint is a known method for access authentication. A combination of both technologies and integration of the system with IoT make will make the security system more efficient and reliable. Use of online platform google firebase is made for saving database and retrieving it in real-time. In this system access to the fingerprint (touch sensor) from mobile is proposed using an android app developed in android studio and authentication for the same is also proposed. On identification of both face and fingerprint together, access to door or locker is provided. |
| URL | https://ieeexplore.ieee.org/document/9171080 |
| DOI | 10.1109/ICISC47916.2020.9171080 |
| Citation Key | jeste_two-point_2020 |
Two-point security system for doors/lockers using Machine learning and Internet Of Things