Please use this identifier to cite or link to this item: http://hdl.handle.net/11547/9437
Title: IMAGE PROCESSING AND ARDUINO INTERFACE APPLICATIONS OF AN AUTOMATED DESK
Authors: EL MORR, Roucoz
Keywords: : Smart Desk
Issue Date: 2021
Publisher: ISTANBUL AYDIN UNIVERSITY INSTITUTE OF SOCIAL SCIENCES
Abstract: The twenty first century is the digital age where books are replaced by technological gadgets, and where employees, office workers, students, and managers spend a lot of hours sitting in the same position, focusing on small screens, writing reports, and achieving their own daily stuff without noticing that their health is negatively affected, hence suffering from health problems that limit their creativity and productivity. Smart Desk is an innovative solution that registers a person’s daily routine, gently notifies him/her of the best times to sit and stand. It is a combination of a desk with sensors and an application that consists of a schedule program where all orders are received by the Arduino controller, via Bluetooth, which orders the motor driver to achieve the corresponding output. The system is designed with a dual mode: “Student Mode” and “Worker Mode” where the user specifies which mode to be displayed with its relative features. In both modes, there is a reminder system that allows the user to have a private desk that is customized to order food, call a taxi/partner, opens a music, control the light projection and the temperature with respect to the environment, force the worker to drink and do stretching activities after a sufficient time of sitting by adjusting the desk with respect to the height so it can move up or down, manually and automatically. Also, the desk is qualified by a voice recognition system to ensure security, and a camera based on image processing system to recognize any person and give information about him.
URI: http://hdl.handle.net/11547/9437
Appears in Collections:Tezler -- Thesis

Files in This Item:
File Description SizeFormat 
10409351.pdf1.65 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.