Speed is measured on Intel Xeon CPU E5-2630 v4 @ 2.20GHz. Source: NIST FRVT Ongoing.
Perform 1:1 verification with industry leading accuracy.
Search millions of faces on a mobile device, or billions on a server, in seconds.
Locate faces in photos and video with industry leading detection speed.
Track eye and chin locations.
Group unlabeled faces by identity.
Predict a face likelihood to generate a successful match.
Analyze a face to predict its age, ethnicity and gender.
Analyze a face for anger, disgust, fear, joy, neutral, sadness or surprise expressions.
Process videos in real-time using a single core on a mobile device or server.
Determine where a person is looking relative to the camera using roll, yaw and pitch measurements.
Detect print and digital screen replay attacks using a single image.
Count persons in a video stream seamlessly.
Measure template similarity within the encrypted domain.
Detect eyeglasses, sunglasses, or no glasses.
Optionally enroll images on a GPU.
Determine if a face is of a cartoon, a painting or a human.
No internet connection is required.
Support for all major programming languages including Python, Java, C# and Go.
A robust command line interface allows constructing systems from shell scripts.
Analyze if a mask is occluding a portion of the face.
Identify persons using only the eye and eyebrow regions of the face.
Leverage FR technology on your own Web service on hardware that you control.