Design and Implementation of Acoustic Source Localization on a Low-Cost IoT Edge Platform Articles uri icon

publication date

  • December 2020

start page

  • 3547

end page

  • 3551


  • 12


  • 67

International Standard Serial Number (ISSN)

  • 1549-7747

Electronic International Standard Serial Number (EISSN)

  • 1558-3791


  • The implementation of algorithms for acoustic source localization on edge platforms for the Internet of Things (IoT) is gaining momentum. Applications based on acoustic monitoring can greatly benefit from efficient implementations of such algorithms, enabling novel services for smart homes and buildings or ambient-assisted living. In this context, this brief proposes extreme low-cost sound source localization system composed of two microphones and the low power microcontroller module ESP32. A Direction-Of-Arrival (DOA) algorithm has been implemented taking into account the specific features of this board, showing excellent performance despite the memory constraints imposed by the platform. We have also adapted off-the-shelf lowcost microphone boards to the input requirements of the ESP32 Analog-to-Digital Converter. The processing has been optimized by leveraging in parallel both cores of the microcontroller to capture and process the audio in real time. Our experiments expose that we can perform real-time localization, with a processing time below 3.3 ms.


  • Industrial Engineering


  • esp32; embedded systems; sound source localization; doa estimation