scholarly journals The Five-Button Door Lock – Experiment and Discovery in Mathematics

2021 ◽  
Vol 8 (14) ◽  
pp. 105-125
Author(s):  
Shai Simonson ◽  
Timothy Woodcock
Keyword(s):  
2012 ◽  
Vol 19B (2) ◽  
pp. 127-134
Author(s):  
Seung-Hwan Shin ◽  
Sang-Rak Lee ◽  
Han-Go Choi

2021 ◽  
Vol 1797 (1) ◽  
pp. 012052
Author(s):  
Arkojyoti Poddar ◽  
Somrup Roy ◽  
Subhasish raha ◽  
Kusal Thakur ◽  
Tamojit Dasgupta ◽  
...  
Keyword(s):  

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.


2015 ◽  
Vol 34 (5) ◽  
pp. 43-47 ◽  
Author(s):  
Andrew Ong
Keyword(s):  

2021 ◽  
Vol 5 (3) ◽  
pp. 543-549
Author(s):  
Helmy Yudhistira Putra ◽  
Utomo Budiyanto

During the COVID-19 pandemic, the price of preventive equipment such as masks and hand sanitizers has increased significantly. Likewise, thermometers are experiencing an increase and scarcity, this tool is also sought after by many companies for screening employees and guests before entering the building to detect body temperatures that are suspected of being positive for COVID-19. The use of a thermometer operated by humans is very risky because dealing directly with people who could be ODP (People Under Monitoring/Suscpected ) or even positive for COVID-19, therefore we need tools for automatic body temperature screening and do not involve humans for the examination. This research uses the MLX-90614 body temperature sensor equipped with an ultrasonic support sensor to detect movement and measure the distance between the forehead and the temperature sensor so that the body heat measurement works optimally, and a 16x2 LCD to display the temperature measurement results. If the measured body temperature is more than 37.5 ° C degrees Celsius then the buzzer will turn on and the selenoid door lock will not open and will send a notification to the Telegram messaging application. The final result obtained is the formation of a prototype device for measuring body temperature automatically without the need to involve humans in measuring body temperature to control people who want to enter the building so as to reduce the risk of COVID-19 transmission


Author(s):  
A.RAJESH KUMAR ◽  
C. DINESH ◽  
R. ARAVIND ◽  
SRIKRISHNA. C ◽  
PL. NAGARTHINAM

The purpose of this project is to increase the knowledge of technology and services of smart homes for disabled people. There is a clear need for such new knowledge since the number of disabled people is significant. Indeed, new technologies and services of smart homes have the potential to increase effectiveness and efficiency of caring disabled. With right solutions there is a great potential to increase disabled persons' quality of life. The need for the development of such technologies and services increases due to the disabled individuals' desire to remain independent in their own homes, the increasing costs of health care, and the aging of the population. This article discusses the concept of secured door lock/unlock system for the differently able. The juxtaposition of safety vs. privacy can be alleviated with this technology. Moreover, as there is need to assist disabled to protect them from various forms of abuse, and prevent immoderation of pleasure giving activities.


2021 ◽  
Vol 2 (1) ◽  
pp. 84-90
Author(s):  
AlThariqh Muhammad Quithary ◽  
Hastuti Hastuti
Keyword(s):  

Penggunaan kunci pintu yang sekaligus sebagai pengaman, sudah digunakan sebelumnya namun belum optimal. Berkembanganya system informasi dan teknologi yang semakin canggih menunjukkan bahwa penggunaan RFID sebagai pengunci elektrik dapat mengoptimalkan  para pengguna untuk mengakses ruangan hanya dengan men-tag kartu ID pada bagian yang sudah disediakan pada kondisi pintu terbuka dan tertutup. Tujuan perancangan alat pengunci pintu dan system informasi dalam ruangan dapat memberikan informasi keberadaan dosen/pengguna dalam ruangan melalui status yang dapat dilihat dan diakses pada aplikasi telegram, dengan menggunakan pendekatan RFID berbasis arduino. Aplikasi telegram sebagai media informasi keberadaan pengguna dalam ruangan mempermudah seseorang yang ingin berhubungan dengan pengguna dalam ruangan untuk mengetahui keberadaannya. Hasil perancangan ini menggunakan komponen RFID sebagai Kunci Elektrik yang terhubung dengan Arduino Mega 2560, Driver Relay sebagai penghubung saklar on atau off dari Selonoid Door Lock pada pintu, penggunaan RTC sebagai indikator waktu pergantian status dosen dan saklar otomatis untuk mengaktifkan dan menonaktifkan rancangan alat dan penggunaan ESP8266 sebagai penghubung antara rancangan alat dengan media informasi Telegram dengan menggunakan jaringan internet (Wifi).   Kata kunci — Sistem Informasi , RFID, Arduino Mega 2560,  Selonoid Door Lock, Telegram


Sign in / Sign up

Export Citation Format

Share Document