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face-detection-application

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The Facial Recognition and Detection Application provides both image and live camera facial recognition and detection. In image mode, it identifies faces, eyes, and smiles within loaded images. In live camera mode, it continuously captures real-time video and performs facial recognition, eye detection, and smile detection,

  • Updated Dec 20, 2023
  • Java

This GitHub repository contains an implementation of a face detection algorithm using MTCNN (Multi-Task Cascaded Convolutional Networks). MTCNN is a state-of-the-art deep learning-based face detection algorithm that is able to accurately detect faces even in challenging environments, such as low light, occlusions, and various angles.

  • Updated Apr 1, 2023
  • Python
Brain-Power-Amazon-Fidgetology

FACE DETECTION AND ATTENDENC-- Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier

  • Updated Mar 22, 2022
  • Python

The purpose of this Android app is to utilize the Microsoft Face API to not only detect individual faces in an image, but also for each face provide information such as emotions, the estimated age, gender, and more. Possible applications for this app are at amusement parks, classrooms, and residential homes.

  • Updated Oct 21, 2021
  • Java

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