DIA Face Recognition
Face Recognition is a technology created to recognize and detect human faces by collecting Biometric Data or identity information from individuals through closed-circuit cameras, images, or videos. This data is then processed and used for various purposes especially in identity verification such as unlocking phones and confirming transactions.
Face Recognition system, therefore, applied in security, using AI to detect faces to identify suspicious individuals in crowds or for personnel screening at entry points. Moreover, Face Recognition systems are integrated into various applications, including mobile games and popular social media filters that are in our daily social media life.
Key Features
Detection
the Face Detection system detects faces from acquired biometric data, whether in the form of photos, camera input, or videos. It, then, collects facial data and counts the number of individuals in the image before transmitting the acquired data to the next relevant system.
Analysis and Attribution
After obtaining data from Face Detection, the Face Recognition system proceeds to create a facial template, or generate a Faceprint using reference points known as Nodal Points. These points mark the positions of various features on the face, such as the distance between eyebrows and eyes, the shape of the nose, and the distance between chin and mouth, among others. The resulting output will have characteristics resembling a unique imprint of each individual’s face.
Recognition
The system compares the obtained Faceprint with the biometric data stored in the database to check and confirm the identity of the person in the image. It verifies whether the individual exists in the database, is someone being needed for any purpose, or has any other relevant information in the system.