FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Every face has numerous, distinguishable landmarks-the different peaks and valleys that make up facial features. These landmarks are called nodal points. Each human face has approximately 80 nodal points.

Detailed explanation-2: -Two-Factor Authentication In Action When a person approaches the entrance to a secure area, a surveillance camera captures an image of their face. The face recognition analytic built into the VMS instantly compares their face against a known list.

Detailed explanation-3: -The most common type of machine learning algorithm used for facial recognition is a deep learning Convolutional Neural Network (CNN). CNNs are a type of artificial neural network that are well-suited for image classification tasks.

Detailed explanation-4: -Facial recognition software relies on machine learning technology, which requires massive data sets to “learn” to deliver accurate results. Such large data sets require robust data storage. Small and medium-sized companies may not have sufficient resources to store the required data.