Design of Asset Tracking System Using Speech Recognition

  • Ankita PendseEmail author
  • Arun Parakh
  • H. K. Verma
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)


Speech recognition has seen a significant development in past decade. Advances in digital speech processing are supporting affordable applications in a variety of human/machine communication. This emerging technology has been implemented in fields like security, medicine, media, and recently in web browsing by Google Voice search. This paper discusses a speech-activated assistive system for locating misplaced items. Technologies such as Bluetooth and Android open-source platform are used in the design. Bluetooth-enabled system ensures a user-compatible, compact, wireless, and secure operation. Microcontroller-based asset tracking tags are developed which are attached to items that most commonly get misplaced. Using speech commands as input to the Android application created, these items can be tracked. Buzzer interfaced with the microcontroller in every tracking tag assists the tracking process. This work paves the way to promote the use of speech recognition for the development of a variety of innovative-assistive technologies.


Speech recognition Assistive technology Bluetooth 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Shri G.S. Institute of Technology and ScienceIndoreIndia

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