A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through ID verification services, works by pinpointing and measuring facial features from a given image.
With recent advancements in deep learning, face recognition has become highly accurate, with accuracy levels of over 99% with confidence thresholds of false acceptance rate of one in one thousand.
There are 2 components to the Facial Recognition Technology
Facial Detection :- the software component that detects if a face(s) is present in the image. A face detection system uses machine learning or deep learning algorithms to determine the presence and location of faces in a still image or video frame. The process is anonymous – face detection is not used to identify the detected face or faces. It also does not store any personally identifiable information. It merely places a bounding box around the faces that it detects to show where in the image or video those faces are situated
Facial Recognition :- the software component that maps, analyzes, and then confirms the identity of a face in a photograph or video. A face recognition system works by taking an image of a face and making a prediction about whether the face matches another face or other faces in a provided database. The technology is designed to compare and predict potential matches of faces regardless of their expression, facial hair, and age.
Facial Recognition technology is one of the most powerful surveillance tools ever made.
We control and manage all aspects of the facial and personal information that we collect on behalf of our clients.Within our organization we are aware of the sensitive nature of the information that we are entrusted with, and we adhere to privacy protocols currently in place.