Face Recognition Software by Face-Six (FA6) is a series of face recognition applications designed to identify people in real time. Our innovative technology simplifies face recognition and allows for fast & accurate operation.
FA6 can identify multiple people simultaneously from one or multiple cameras spread at multiple locations, under one control panel.
FA6 applications offers intuitive and smooth navigation allowing anyone with basic computer skills to become an expert user fairly quickly.
This is a secret service technology at your fingertips and we’re not just saying it as a figure of speech, we mean it literally, FA6 software was installed at several GOV agencies around the world!
FA6 offers 8 different face recognition software applications especially designed
to meet the specific requirements of each customer type.
Face recognition software compares face representations rather than comparing actual faces. This means that a facial recognition algorithm goes through a face and extracts the features of the face. This process is often called template/vector generation or facial feature extraction. At the end of that process, we are left with 5KB of a text string which represents a 2, 5 or 10 MB photo. So when the matching process takes place, it matches a text string against a data base of text strings, which is obviously faster and much more efficient than comparing photos.
The first step for using face recognition software is to enroll (register) people into the software watch list (database). Enrollment is done by using high-quality reference photos – these can be sharp and big passport photos like. The second step is to feed the software with high-quality videos or photos where the faces are fully visible. The next step is the matching process where the software compares the faces’ representation in the video or in the photo against the ones in the watch list. The matching can be done either as an identification process (1:N), where comparison is run against the whole data base, or as a verification process (1:1) where the software verifies the identity of a known person against its presumed photo in the data base.
Face recognition software performance is not magic. Enrolling low-quality photos of faces into the database, and feeding the software with videos where faces are barely visible – are a recipe for disappointment. There’s an old saying in the software world – “garbage in – garbage out” and face recognition is no different. In order to achieve high accuracy, first you need to make sure the faces you enroll into the software’s database are of high quality. Secondly, you need to make sure your camera is located in the right place for capturing fully visible sharp faces, and then you need to make sure lighting conditions at the camera’s range are fine. For more detailed requirements for achieving high accuracy please refer to our photo guide.
