Face Liveness and Authentication by FRS Labs verifies a person's identity by analyzing hundreds of facial characteristics to ensure the face is real and not a spoof. It compares the live face with the one on file or from a government-verified ID. FRS Labs provides both passive and active liveness checks. Active liveness checks for blink or smile through a selfie and can be used in low-risk environments on the device without server calls. This will only provide basic protection from photos and not from spoof-attacks like video and masks, so use with caution. Passive liveness requires a short video capture or a selfie with several frames without actions like blinking or smiling, using advanced AI anti-spoof technology to check for liveness. This provides protection from photos, videos, and masks. Passive liveness can be combined with voice token verification for advanced checks. Combining voice and face in anti-spoof detection offers high protection from spoof attacks. Face authentication with liveness verifies identity by analyzing face characteristics to ensure the face is real and not a spoof. Face Quality evaluates an input image for parameters like blur, reflection, sharpness, exposure, orientation (pitch, yaw, roll), eye and mouth positions, and sufficient landmark points, providing a quality score. Match Faces takes two input images or a face image and a document image, detects and crops the face images, extracts face features from landmarks, compares the images, and provides a match similarity score. Search Faces processes an input image by detecting, cropping, and extracting facial features, then compares it with stored image templates in your database, allowing searches against millions of images per second. Find Faces uses a reference image to match against a set of images in one API call. This is useful for de-duplicating incoming application data or selecting the best matching image against a reference image to ascertain a single master record. Crop Face takes an input image or video, identifies the face, and crops the image. This is useful for cropping face images from ID cards for face comparison against a selfie or video face. The image crop adheres to the recommended ratio by regulators. Compress Face takes an input image and compresses it to about 50KB without quality loss. It can be used in batch mode to compress images in a document management system.
