GitHub - ssp4all/face-detection-and-recognition: Face recognition implemented from scratch using the local binary patterns algorithm

face-detection-and-recognition

Developed an Economic and Effective Security solution for the homes.
Build with the help of latest technologies like IoT and Machine learning for Face recognition.
Raspberry pi model 3 was used along with PIR sensor for the motion detection purpose.
After a motion detection there will be a face verification after which, only authorized personnel will be allowed to enter inside the house else Homeowner will be notified with an SMS and E-mail.
This application is made up of two major parts ie. Motion Detection using Raspberry pi and Face verification.

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
dataset		dataset
dataset1		dataset1
intruders		intruders
py		py
recognized		recognized
sample pics		sample pics
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
Smart Rakshak-2 .pdf		Smart Rakshak-2 .pdf
_config.yml		_config.yml
abstract.pdf		abstract.pdf
demo.jpg		demo.jpg
faceDetectDatabase.db		faceDetectDatabase.db
faceDetectFromImage.py		faceDetectFromImage.py
faceRecognizeMain.py		faceRecognizeMain.py
haarcascade_eye.xml		haarcascade_eye.xml
haarcascade_frontalface_default.xml		haarcascade_frontalface_default.xml
haarcascade_smile.xml		haarcascade_smile.xml
index.py		index.py
msg.py		msg.py
way2sms.py		way2sms.py