Login  |  Join Us  |  Subscribe to Newsletter
Login to View News Feed and Manage Profile
☰
Login
Join Us
Login to View News Feed and Manage Profile
Agency
Agency
  • Home
  • Information
    • Discussion
    • Articles
    • Whitepapers
    • Use Cases
    • News
    • Contributors
    • Subscribe to Newsletter
  • Courses
    • Data Science & Analytics
    • Statistics and Related Courses
    • Online Data Science Courses
  • Prodigy
    • Prodigy Login
    • Prodigy Find Out More
    • Prodigy Free Services
    • Prodigy Feedback
    • Prodigy T&Cs
  • Awards
    • Contributors Competition
    • Data Science Writer Of The Year
  • Membership
    • Individual
    • Organisational
    • University
    • Associate
    • Affiliate
    • Benefits
    • Membership Fees
    • Join Us
  • Consultancy
    • Professional Services
    • Project Methodology
    • Unlock Your Data
    • Advanced Analytics
  • Resources
    • Big Data Resources
    • Technology Resources
    • Speakers
    • Data Science Jobs Board
    • Member CVs
  • About
    • Contact
    • Data Science Foundation
    • Steering Group
    • Professional Standards
    • Government And Industry
    • Sponsors
    • Supporter
    • Application Form
    • Education
    • Legal Notice
    • Privacy
    • Sitemap
  • Home
  • Information
    • Discussion
    • Articles
    • Whitepapers
    • Use Cases
    • News
    • Contributors
  • Courses
    • Data Science & Analytics
    • Statistics and Related Courses
    • Online Data Science Courses
  • Prodigy
    • Prodigy Login
    • Prodigy Find Out More
    • Prodigy Free Services
    • Prodigy Feedback
    • Prodigy T&Cs
  • Awards
    • Contributors Competition
    • Data Science Writer
  • Membership
    • Individual
    • Organisational
    • University
    • Associate
    • Affiliate
    • Benefits
    • Membership Fees
    • Join Us
  • Consultancy
    • Professional Services
    • Project Methodology
    • Unlock Your Data
    • Advanced Analytics
  • Resources
    • Big Data Resources
    • Technology Resources
    • Speakers
    • Data Science Jobs Board
    • Member CVs
  • About
    • Contact
    • Data Science Foundation
    • Steering Group
    • Professional Standards
    • Government And Industry
    • Sponsors
    • Supporter
    • Application Form
    • Education
    • Legal Notice
    • Privacy
    • Sitemap
  • Subscribe to Newsletter

IOT Based Intelligent Acoustician Microphone

07 June 2020
Balakrishnan Subramanian
Views (988)
Author Profile
Other Articles
Follow (91)

Share with your network:

The Intelligent Acoustician Microphone is an IOT based system, which consists of sound detection sensors, Arduino Uno development board, Arduino Motor Shield, RKS 564 Stepper Motor, Threaded Rod and Pin Hex Security grub screw. The voice frequency of the speaker is sensed from the sound detection sensors used. The frequency of the sound is considered for making an automatic setting. The next phase concentrates on sending notification to notify arduino motor shield. Then concentrates on the lifting mechanism, the automation process. The last two phases involve testing the various features of the trained System and concentrates on calibrating the maximum and minimum height of the microphone.

ANATOMY OF INTELLIGENT ACOUSTICIAN MICROPHONE

To design an intelligent and adaptable acoustic system, “An IOT Based Intelligent Acoustician Microphone” for the benefit of public communication. After the era of acoustic megaphones, the era of microphones took over. But still the means of communication had been facing several issues. The need of adjusting the microphone manually every time the speaker approaches the microphone was a noticeable problem in a public meeting or occasion. The speaker faces difficulty in adjusting the microphone’s direction and angle. The current microphone in use lacks the intelligence in processing.

The diagram above provides visual clarity of the proposed system.

  1. The voice frequency of the speaker is sensed.
  2. Detects the sensor which senses the prescribed frequency.
  3. Concentrates on sending notification to notify ardino motor shield.
  4. Concentrates on the lifting mechanism, the automatic phase.
  5. Testing the various features of the trained System.
  6. Concentrates on calibrating the maximum and minimum height of the microphone.

Our work addresses the issues of current microphones, no matter the purpose, or place of application it assesses the speaker’s height and does necessary adjustments so as to ensure effective transmission of sound waves. In spite of the area of deployment, it considers the user, our work is user friendly in all aspects, children, visually impaired, people with neuro development disorder, and the elderly persons also can easily use this to communicate because it does not require any other technician’s guidance or any other external person’s help, and proves it different than the usual ones we have seen. Our work eases the task of acoustic technicians since we employ IOT and do the smart processing of sensing the speaker’s sound signals and adjust the directionality angle by itself. Our approach would be a breakthrough in the era of conventional microphones. This would equip the users using the microphone with confidence and avoid embarrassing occasions and pave way for effective communication on all occasions.

Methodology

At the implementation stage, the entire set up of a Microphone with a black power box, Sound Detection Sensors mounted on either side of the central microphone, a cable, Arduino and motor shield, a RKS 564 stepper motor and a threaded rod with a Pin Hex Security grub screw. The work has a manual mode and an automatic mode. A button can be moved in a downward direction and manual mode can be activated, where the user can move the direction of the microphone in a desired direction and angle. When the button is moved in a upward direction, the automatic mode is activated. These are enabled by programming the arduino. The frequency levels of the SD Sensors are detected, in the automatic mode and   the shield is used to operate the RKS 564 stepper motor through the interactions to the arduino and the lifting mechanism is performed.

Finally, as output the microphone assess the speaker’s height based on the speaker’s voice frequency. If more than one speaker, its senses the nearest speaker with the voice which is higher than 50 DB and adjusts the microphone as per that. The self adjusting mechanism is performed by the Motor shield which operates the RKS 564 Stepper motor and lifts the rod and adjust the angle of the rod holding the microphone, thereby providing an uninterrupted and clear transmission. The device guarantees user friendly nature to all the users irrespective of their ages or gender or educational qualification. It instills confidence in the user.  

A BREAKTHROUGH MECHANISM OF INTELLIGENT ACOUSTICIAN MICROPHONE

The power box should be switched on and made sure about the voltage settings. The speaker himself could choose the settings, either he/she could opt the manual setting by moving a button manually or would default opt with auto settings. As per the users option the system would be programmed. The sound energy of the sound detector sensor on top of the microphone and the bottom of the microphone are sensed and based on the sound energy detected the microphone will be adjusted height wise either upwards and downwards and angle wise.  If the speaker is tall, the top sound sensor would detect maximum volume and give instructions to the motor to change the position of the mike, until there is equal amount of volume between the two sound sensors symbolizing that the microphone is set to the right spot. The same would happen to a short speaker/User.

The main feature of the intelligent processing is the height adjustment mechanism; here the Arduino and motor shield, a RKS 564 stepper motor and a threaded rod with a Pin Hex Security grub screw are involved. The frequency levels of the SD Sensors are detected, in the automatic mode and the shield is used to operate the RKS 564 stepper motor through the interactions to the arduino and the lifting mechanism is performed. The shield is the device which operates the stepper motor and sends the information to the Arduino which is placed beneath. Depending upon the motor used, revolutions are performed.  Arduino has two programs saved onto it. The first for the manual setting. This allows the microphone to move up and down with the switch of a button. The other one is for the automatic part which consists of programming SD sensors to pick up a person’s voice and move it to the correct height.

The threaded rod which is placed at the centre of the tube consists of a nylon spacer on the tip. The microphone is placed n to a small rod which has a nut welded on to the bottom. The threaded rod is placed between the nuts. When the motor spins in one direction, the nut will be moved up or down.

Conclusion

We create effective strategies and memorable experiences for the speakers who use Intelligent Acoustician Microphone, by providing independence for a kid or a common man or persons with neuro disorders to handle the crowd with confidence for effective communication. This change would resonate in the society and pave way for advancements in microphone technologies and provide smarter gatherings and occasions.

Like (5)
Download

Email a PDF Whitepaper

If you found this Article interesting, why not review the other Articles in our archive.

Login to Comment and Like

Categories

  • Data Science
  • Data Security
  • Analytics
  • Machine Learning
  • Artificial Intelligence
  • Robotics
  • Visualisation
  • Internet of Things
  • People & Leadership
  • Other Topics
  • Top Active Contributors
  • Balakrishnan Subramanian
  • Abhishek Mishra
  • Mayank Tripathi
  • Michael Baron
  • Santosh Kumar
  • Recent Posts
  • New Code of R under COVID-19 outbreak: Reputation, Reliance and Relationship in attracting ‘new enrollments’.
    08 March 2022
  • In Secondary Data We Trust: Secondary Data ‘’Trust’’ Issues
    04 March 2022
  • Get The Best Machine Learning Libraries For Beginners
    06 January 2022
  • Automated machine learning (AutoML)
    05 November 2021
  • Most Liked
  • Cyber Physical Systems
    Likes: 26
    Views: 16731
  • Green Computing: The Future of Computing
    Likes: 23
    Views: 8956
  • Why AI is a great match for your data strategy
    Likes: 18
    Views: 1607
  • Advances in Data Science 2018: Final Speakers & Discussion Themes
    Likes: 16
    Views: 2003
  • Detecting Fraud Using Machine Learning
    Likes: 15
    Views: 1413
To attach files from your computer

    Comment

    You cannot reply to your own comment or question. You can respond to another member's comment in this thread.

    Get in touch

     

    Subscribe to latest Data science Foundation news

    I have read and agree to the Data science Foundation Privacy Policy

    • Home
    • Information
    • Resources
    • Membership
    • Services
    • Legal
    • Privacy
    • Site Map
    • Contact

    © 2022 Data science Foundation. All rights reserved. Data S.F. Limited 09624670

    Site By-Peppersack

    We use cookies

    Cookie Information

    We are using cookies to provide statistics that help us to improve your experience of our site. You can choose to use the site without cookies. However, by continuing to use the site without changing your settings, you are agreeing to our use of cookies.

    Contact Form

    This member is participating in the Prodigy programme. This message will be directed to Prodigy Admin the Prodigy Programme manager. Find out more about Prodigy

    Complete your membership listing and tell others about your interests, experience and qualifications with a Personal Profile page.

    Add a Personal Profile

    Your Personal Profile page is missing information about your experience and qualifications that other members would find interesting. Click here to update.

    Login / Join Us

    Login to your membership account to view your personalised news feed, update your profile, manage your preferences. publish articles and to create a following.

    If you are not a member but work with or have an interest in Data Science, Machine Learning and Artificial Intelligence, join us today.

    Login | Join Us

    Support the work of the Data Science Foundation

    Help to fund our work and enable us to provide free communications and knowledge sharing services to members across the globe.

    Click here to set-up a donation of £30 per year

    Follow

    Login

    Login to follow this member

    Login