Face on Edge: Real Time Face Recognition on Snapdragon 845

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Face on Edge: Real Time Face Recognition on Snapdragon 845

Description

Face recognition is an algorithm/technique to identify faces by their names/IDs. A face recognition system captures an incoming image from a camera, crops and localizes the face, and extracts unique features from it. These features help build a classification model to recognize/classify faces. This paper’s purpose is to develop a face recognition system and deploy it on the Eragon 845 board, a Hardware Development Kit (HDK) featuring the Qualcomm® Snapdragon™ SD845 processor. The developed face recognition application is tested on Oneplus 6, an Android-based mobile device built

on a Snapdragon™ SD845 processor. The classification model, Extreme Value Machine (EVM) , was recreated in Java Android, and the produced application’s performance was evaluated on the device’s

various runtimes (CPU, GPU, GPU_Float16, and DSP).

In this whitepaper we have discussed how we have developed and deployed the Real Time Face Recognition on the Eragon 845 and tested on the Oneplus 6 phone, both of which are based on the SD 845 SoC.

Highlights

  • Snapdragon Neural Processing Engine (SNPE)
  • Facial recognition pipeline
  • SSD MobileNet FaceNet
  • Extreme value machine Performance of face recognition pipeline
  • Facial recognition application demonstration
  • Application Area

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    Description

    Face recognition is an algorithm/technique to identify faces by their names/IDs. A face recognition system captures an incoming image from a camera, crops and localizes the face, and extracts unique features from it. These features help build a classification model to recognize/classify faces. This paper’s purpose is to develop a face recognition system and deploy it on the Eragon 845 board, a Hardware Development Kit (HDK) featuring the Qualcomm® Snapdragon™ SD845 processor. The developed face recognition application is tested on Oneplus 6, an Android-based mobile device built

    on a Snapdragon™ SD845 processor. The classification model, Extreme Value Machine (EVM) , was recreated in Java Android, and the produced application’s performance was evaluated on the device’s

    various runtimes (CPU, GPU, GPU_Float16, and DSP).

    In this whitepaper we have discussed how we have developed and deployed the Real Time Face Recognition on the Eragon 845 and tested on the Oneplus 6 phone, both of which are based on the SD 845 SoC.

    Highlights

    • Snapdragon Neural Processing Engine (SNPE)
    • Facial recognition pipeline
    • SSD MobileNet FaceNet
    • Extreme value machine Performance of face recognition pipeline
    • Facial recognition application demonstration
    • Application Area

    To read more, download the copy

    arrows-new-1

    To download this resource

    Fill in the details below






      I have read and understand the Privacy Policy By submitting this form, I acknowledge that I have read and understand the Privacy Policy

      I wish to be contacted by eInfochips I wish to be contacted by eInfochips

      For all career related inquiries, kindly visit our careers page or write to career@einfochips.com

      Description

      Face recognition is an algorithm/technique to identify faces by their names/IDs. A face recognition system captures an incoming image from a camera, crops and localizes the face, and extracts unique features from it. These features help build a classification model to recognize/classify faces. This paper’s purpose is to develop a face recognition system and deploy it on the Eragon 845 board, a Hardware Development Kit (HDK) featuring the Qualcomm® Snapdragon™ SD845 processor. The developed face recognition application is tested on Oneplus 6, an Android-based mobile device built

      on a Snapdragon™ SD845 processor. The classification model, Extreme Value Machine (EVM) , was recreated in Java Android, and the produced application’s performance was evaluated on the device’s

      various runtimes (CPU, GPU, GPU_Float16, and DSP).

      In this whitepaper we have discussed how we have developed and deployed the Real Time Face Recognition on the Eragon 845 and tested on the Oneplus 6 phone, both of which are based on the SD 845 SoC.

      Highlights

      • Snapdragon Neural Processing Engine (SNPE)
      • Facial recognition pipeline
      • SSD MobileNet FaceNet
      • Extreme value machine Performance of face recognition pipeline
      • Facial recognition application demonstration
      • Application Area

      To read more, download the copy

      arrows-new-1

      To download this resource

      Fill in the details below






        I have read and understand the Privacy Policy By submitting this form, I acknowledge that I have read and understand the Privacy Policy

        I wish to be contacted by eInfochips I wish to be contacted by eInfochips

        For all career related inquiries, kindly visit our careers page or write to career@einfochips.com

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