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Implementation Of Machine Learning For Gender Detection Using Cnn On Raspberry Pi Platform

IMPLEMENTATION OF MACHINE LEARNING FOR GENDER DETECTION USING CNN ON RASPBERRY PI PLATFORM

  • Project Code :
  • TEMBRE19_495
  • .
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IMPLEMENTATION OF MACHINE LEARNING FOR GENDER DETECTION USING CNN ON RASPBERRY PI PLATFORM

Gender Detection has numerous applications in the field of authentication, security and surveillance systems, social platforms and social media. The proposed system describes gender detection based on Computer Vision and Machine Learning Approach using Convolution Neural Network (CNN) which is used to extract various facial features. First, the facial- extraction is investigated and best features are introduced which would be useful for training and testing the dataset. This learning representation is taken through the use of convolution neural network. Which reveals that the proposed system is tested across various challenging levels of face datasets and gives excellent performance efficiency of the system with gender detection rate for? Each of the databases. This whole system is introduced by the simple and easy hardware implementation on Raspberry Pi programmed using Python.

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Package Features

  • POWER SUPPLY
  • CAMERA
  • RASPBERRY PI
  • DISPLAY

Includes

  • PYTHON IDE
  • Embedded c

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