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Face Detection in Internet of Things Using Blackfin Microcomputers Family

  • Sorin Zoican
  • Marius Vochin
  • Roxana Zoican
  • Dan Galațchi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 747)

Abstract

This paper describes a face detection system based on the Blackfin microcomputer architecture that may be used in an Internet of Things (IoT) context. The face detection algorithm is based on skin detection and scanning binary images to determine the face area. Further image processing may determine the eyes and mouth in order to extract main face characteristics. The face detection algorithm may be used in context of IoT to determine the searching area for eyes and mouth (e.g. for face recognition and emotion detection). The face detection algorithm is implemented using the Visual DSP++ integrated development environment and face detection is achieved in real time.

Keywords

Face detection Internet of Things Real time DSP processor 

Notes

Acknowledgments

This work has been partially funded by UEFISCDI Romania under Bridge Grant project grant no. 60BG/2016 “Intelligent communications system based on integrated infrastructure, with dynamic display and alerting - SICIAD. The authors would like to thank to Florin Rosulescu for his support to this work.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Sorin Zoican
    • 1
  • Marius Vochin
    • 1
  • Roxana Zoican
    • 1
  • Dan Galațchi
    • 1
  1. 1.University Politehnica of BucharestBucharestRomania

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