JSAI2020

Presentation information

Interactive Session

[4Rin1] Interactive 2

Fri. Jun 12, 2020 9:00 AM - 10:40 AM Room R01 (jsai2020online-2-33)

[4Rin1-51] A Keyless System Combining Deep Learning-based Multi-Person Matching and Smart Lock Technology

〇Ryosuke Tanno1, Shuhei Asano1, Satoki Shibata1, Masaya Okamoto1, Yuri Ohata2, Haruto Sakamoto2, Masayuki Asanuma3, Koichiro Kawamura3 (1.NTT Communications Corporation, 2.NTT Worldwide Telecommunications, 3.KOZO KEIKAKU ENGINEERING Inc.)

Keywords:Person Re-Identification, Face Recognition, Body Recognition, Pose Estimation, Smart Lock

In recent years, demand for the use of data centers has increased due to the development of cloud technologies, and the data center market has been expanding year by year. In data centers where high security is required, key management is performed for each server rack, and in large-scale data centers, as many as 20,000 keys are lent annually. It is estimated that it takes more than 5000 hours a year to respond to the loaning of keys, and there are problems such as increased waiting time for data center reception and increased operation. Therefore, in this study, we propose a keyless data center that combines deep learning-based authentication technology using human skeleton information and electronic lock technology "RemoteLock" provided by the Structural Planning Research Institute, in addition to commonly used human verification technology such as face authentication and whole-body authentication.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.

Password