Team - TechPirates Attendance Monitoring System using Face Recognition
by ah8892 Updated: Jan 27, 2022
This is the submission from Team -TechPirates for the topic -Skilling and Scaling Education. We have built an Attendance Monitoring System based on Real-time face recognition using OpenCV. We have explained more details on our project in this presentation : https://docs.google.com/presentation/d/1R45uxJ2pZD_ttEfE08hl8BVfET7djaua/edit?usp=sharing&ouid=107941737269981387375&rtpof=true&sd=true We have explained our implementation in this video : https://youtu.be/wW6ad22JOeU
These libraries are used to recognize and manipulate faces easily and quickly.
The world's simplest facial recognition api for Python and the command line
Python 47762 Version:v1.2.2 License: Permissive (MIT)
A toolkit for making real world machine learning and data analysis applications in C++
C++ 11846 Version:v19.24 License: Permissive (BSL-1.0)
These libraries are used to access the images in a two-dimensional array and open images easily.
The fundamental package for scientific computing with Python.
Python 23036 Version:v1.24.2 License: Permissive (BSD-3-Clause)
Real-time face recognition project with OpenCV and Python
Python 744 Version:Current License: No License
Kit Solution Source
Python 0 Version:Current License: No License
Follow the below instructions to run the solution 1. Pycharm Community Version installation is necessary. 2. Dependencies such as face_recognition, cmake, NumPy, OpenCV-python,dlib need to be installed in the Pycharm environment. 3. Import the above Github code into the pycharm IDE. 4. Make Basics.py as a configuration in Pycharm and run the Basics.py file.