A technology capable of matching a human face from a digital webcam frame capture against a database
This dlib-based facial login system is a technology capable of matching a human face from a digital webcam frame capture against a database[number of Numpy Arrays – 128 computer 128-d (i.e., a list of 128 real-valued numbers) that is used to quantify the face] of faces, typically employed to authenticate users through ID verification services, works by pinpointing and measuring facial features from a given image.
Before using the code, first make sure you have installed the appropriate Python Libraries! Or else, the code won’t execute!
LIST –
#1. I’m assuming you are already familiar with the OpenCV Python library used in the Computer Vision Field for images and video frames[images].
(i.e., pip install opencv-contrib-python) – Pre-built CPU-only