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Sensor-Based Technology in Interior Design

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Sensor-Based Technology in Interior Design

Sensor-Based Technology in Interior Design

Hands-on Workshop “Sensor-Based Technology in Interior Design.”

Duration     : 23.09.2021 to 09.10.2021 (Two Weeks)

Unitedworld School of Computational Intelligence (USCI) and School of Furniture and Interior Design jointly organized an inter-school technical workshop Program on “Sensor-Based Technology in Interior Design” from 23rd September 2021 to 09th October 2021 to provide a platform to explore students’ technical knowledge. The workshop training programme conducted various level like Interior Design thinking, Create the Code through Arduino Platform, Implementation of the software code through Arduino Microcontroller and Interface the various peripherals.

Brief for the Workshop:

Sensors and New Technologies for Indoor daily living.

The recent time has witnessed a rapid evolution of technology and global communications. These technological manifestations have paved the way for smart interior design solutions and inspired designers to study the effect of integrating smart solutions into aspects of sustainable interior design. This workshop will focus on the hands-on experience behind the new technology along with smart design and exploring the benefits of interior design solutions that incorporate smart technologies with various aspects of sustainability.

Faculty Mentor, Dr Manivel Kandasamy, Associate Professor and Centre Head Robotics &Artificial Intelligence, USCI

Faculty Mentor, Hariesh K. Sankaran, Associate Professor and Associate  Director from the Department of Interior and Furniture Technology.

Lead by Mira Patel (Assistant Professor), from the Department of Interior and Furniture Technology

 

In the first session, students got familiar with the fundamental Concepts of electrical circuits and design and how to identify components of a circuits like power supply unit, Amplifier, Processor and Microcontroller unit etc… Informative videos were shown to students.

In the next part a brief introduction to create assembly and C through logical thinking. They got familiar with various development logical algorithm of High level and Assembly language environment. In this regard students were performed some application-based activity like LED blinking, Multiple LED connections through breadboard.

In the next part a brief introduction to Arduino was given the students. They got familiar with various development boards of Arduino and learnt the development environment for Arduino. Working with Arduino I/ O pin was taught and functions of various embedded components were explained. Later simple application of Arduino like blinking LED, character display through 16×2 LCD, Actuator Interfacing Concepts, Switches and Interfacing of different sensors and its coding was explained.

In the last part of the theory session, more applications of Arduino were explained and showed. Students developed their own projects for various Interior design applications such as LED blinking, Automatic Human detection and Lighting through various Sensor and Home Security Systems and finally students presented their own project module. Overall student learn the Electronic hardware and software fundamentals, digital fundamentals and data representation, algorithm and flow charts and basics of working with Arduino and gained basic knowledge of various Arduino development boards; Programming environment; onboard features of Arduino Uno microcontroller.

Following are the Installations developed through the Workshop.

Motion Activated Lighting Design

Exploring light into exhibition design:

Concept brief of the installation:

Lights play a very special role in your life and place. By using this sensor technology, you can dynamically control the lighting of your places like its intensity, its color, and brightness. This smart technology helps in making every corner of your place have the correct brightness and make them suitable according to your mood.

Students who will help in making the prototype model are as follows:

Jhankar Khandelwal – UG Semester 5

Devyani Vijayan – UG Semester 5

Robina Paulchoudhury – UG Semester 3