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surveillance-recognition

https://github.com/navaronaldo14/surveillance-recognition

Science Score: 67.0%

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    Found 1 DOI reference(s) in README
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    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (7.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: navaronaldo14
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 12.3 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

DOI License Code Coverage GitHub contributors Documentation Status GitHub release (latest by date) GitHub issues GitHub closed issues GitHub Repo Size GitHub last commit GitHub language count Commit Acitivity Code Size GitHub forks GitHub stars GitHub watchers

Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion, age and gender of people in any given image, video or real time webcam.

Table of Contents
  1. System Description and Functions
  2. Built With
  3. Installation
  4. Authors
  5. Links

System Description and Functions

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. It can detect the emotion, age and gender of people in any given image, video or real time webcam.

Built With

Python Jupyter OpenCV Keras Numpy Dlib

Installation

  1. Install Python and Jupyter studio
  2. Clone repo, cd into it and open the Age, Gender with Emotion.ipynb notebook in Jupyter.

Authors

Navaneethan

  • Linked In: https://www.linkedin.com/in/navaneethan1400/

Owner

  • Name: Navaneethan
  • Login: navaronaldo14
  • Kind: user
  • Location: chennai

Hi, I'm Navaneethan. BCA Graduate | Enthusiastic about software Development Key Skills : python. Get in touch: Navaneethan1400@gmail.com

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Jadhav"
  given-names: "Kaushik"
orcid: "https://orcid.org/0000-0000-0000-0000"
title: "Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System"
version: 2.0.0
doi: 10.5281/zenodo.10499672
date-released: 2023-03-29
url: "https://github.com/kaushikjadhav01/Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System"

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Dependencies

requirements.txt pypi
  • dlib *
  • keras *
  • numpy *
  • opencv-python *