TRANSFORM YOUR CAMERAS INTO ACTIONABLE INTELLIGENCE
We develop Face recognition applications for enterprise customers using state-of-the-art deep learning technologies for image processing, computer vision, and pattern recognition.
Face recognition technology can detect people’s faces in live video streams or video footage and store anonymous information for each appearance of a person in front of a camera. Analysis of this information over time allows the software to compute people count, demographical information, people movement in time and space, and to detect frequent visitors and crowds. The analysis of traffic patterns and demographical statistics can provide businesses with precise visitor data to make interior design, advertising placement, staffing and other operational decisions.
FACE RECOGNITION PROCESS
Face Detection /Tracking
Face detection locates human faces within an image, and returns high-precision face bounding boxes. In the case of video, the detected faces are tracked using a face tracking component
Face alignment
Face alignment is a process of applying a supervised learned model to a face image and estimating the locations of a set of facial landmarks, such as eye corners, mouth corners, etc
Feature extraction
Feature extraction is performed to provide effective information that is useful for distinguishing between faces of different individuals
Face matching Feature Vector
- Database of Enrolled Users
Face matching is the step where the extracted feature vector of the input face is matched against those of enrolled faces in the database
