IJIRST –International Journal for Innovative Research in Science & Technology| Volume 4 | Issue 11 | April 2018 ISSN (online): 2349-6010 All rights reserved by www.ijirst.org 100 Automatic Dolby Management System Dr. R. R. Mergu Ms. Neha Birajdar Associate Professor BE Student Department of Electronics & Telecommunication Engineering Department of Electronics & Telecommunication Engineering Walchand Institute of Technology, Solapur, Maharashtra, India Walchand Institute of Technology, Solapur, Maharashtra, India Ms. Vasundhara Yemul Ms. Sumedha Phadnis BE Student BE Student Department of Electronics & Telecommunication Engineering Department of Electronics & Telecommunication Engineering Walchand Institute of Technology, Solapur, Maharashtra, India Walchand Institute of Technology, Solapur, Maharashtra, India Abstract The main idea behind development this project is to reduce sound pollution which is generated by Dolby system. In Dolby system, loudspeakers play major role in producing sound pollution. In the field of acoustics, noise investigations involving regulated measurements, this requires sophisticated and expensive equipment and obtaining data sets for subsequent analysis becomes very difficult and complicated. Since functions and parameters can be easily redefined by changes in the programmed instructions. Furthermore, this method avoids a redesign of a physical circuit. In this work, the design and implementation of an android app is presented. The system is implemented with android app and RF communication. The advantage to choose RF communication is that it will control the sound level automatically when the system enters into RF zone. Keywords: Microcontroller 89S52, Bluetooth, Power Supply, Display, Relay, DC Motor, RF Transmitter & Receiver _______________________________________________________________________________________________________ I. INTRODUCTION In this project we are developing one microcontroller based controlling system, which controls the sound of ‘Dolby System’. The operation of our system is done by using Android App. The Android app will control the sound of Dolby system. The communication between Microcontroller system & Android App is done by using Bluetooth module. This system automatically drops sound of Dolby system in silent zone areas such as hospitals, government offices, schools & more. The atomization of this system is done with the help of RF transmitter& RF receiver. The RF transmitter is placed on the silent zone buildings & it will continuously transmit one signal. The RF receiver is placed in the proposed system. If the Dolby system enters that area then it will communicate with each other & reduces the sound. II. LITERATURE REVIEW M. F. Rocha, C. A. Calva [1] used a virtual instrument computer (PC) and appropriate software to simulate a sound level meter. This becomes a huge advantage in the design, cost and versatility of the instrument, since its functions and parameters can be easily redefined by changes in the programmed instructions. This method also avoids a redesign of a physical circuit. Virtual instrumentation is an indispensable tool to study, measure and evaluate complex conditions, such as acoustic spaces. The design and implementation of a sound level pressure meter in a virtual instrumentation scheme is presented. Rhys Brown and Lee Evans [2] explores some of the software tools currently available for smartphone devices, evaluates their measurement accuracy and discusses their potential place in the acoustic professionals testing and analysis system. The results of several experiments comparing the results from ‘traditional’ sound level meters and smartphones are presented. Tested scenarios include sound pressure measurements from various sources and room acoustic measurements. The results of the study show that these new devices can provide useful results under some measurement conditions. However there is as yet no substitute for a sound level meter designed and calibrated in accordance with the relevant international standards. Laishram Rahul,Vinoth Kumar[3] describe the development of a system for measuring the speech quality through clarity of voice production. An Android system is built for the purpose where the user gives speech input and the resulted output is the measurement of the speech quality. The system also differentiates human speech to other sounds. If a non-speech sound is given as an input to the system, the user will be prompted to re-record again.