- #Free facial recognition software for mac verification#
- #Free facial recognition software for mac free#
This way, the enrolled feature template is more reliable and the face recognition quality increases considerably. Then, each face image is processed, features are extracted, and the collections of features are analyzed and combined into a single generalized features collection, which is written to the database. This mode generates the collection of the generalized face features from several images of the same subject. The VeriLook 12.2 face template matching algorithm can compare up to 40,000 faces per second on a PC.Ī face features template can be as small as 194 bytes, thus VeriLook-based applications can handle large face databases.Īlso, 464 bytes templates can be used to increase matching reliability. VeriLook functions can be used in 1-to-1 matching (verification), as well as 1-to-many mode (identification). These samples can be enrolled from different sources and at different times, thus allowing improvement in matching quality.įor example a person might be enrolled with and without beard or mustache, etc. Head yaw can be up to 90 degrees in each direction from the frontal position.īiometric template record can contain multiple face samples belonging to the same person. Head pitch can be up to 15 degrees in each direction from the frontal position. VeriLook allows for 360 degrees of head roll. VeriLook can optionally estimate person's age by analyzing the detected face in the image.Ī quality threshold can be used during face enrollment to ensure that only the best quality face template will be stored into database. VeriLook can be configured to detect certain attributes during the face extraction – smile, open-mouth, closed-eyes, glasses, dark-glasses, beard and mustache. number 31 always corresponds to nose tip). The points can be optionally extracted as a set of their coordinates during face template extraction.Įach of the 68 points has a fixed sequence number (i.e. Larger value for an emotion means that it seems to be more expressed in the face. Six basic emotions are analyzed: anger, disgust, fear, happiness, sadness and surprise.Ī confidence value for each of the basic emotions is returned for the face. VeriLook can be configured to recognize emotion type in a human face. See recommendations for live face detection for more details. The liveness detection can be performed in passive mode, when the engine evaluates certain facial features, and in active mode, when the engine evaluates user's response to perform actions like blinking or head movements. VeriLook is able to prevent this kind of security breach by determining whether a face in a video stream or single frame is "live" or a photograph. Optionally, gender can be determined for each person on the image with predefined degree of accuracy during the template extraction.Ī conventional face identification system can be tricked by placing a photo in front of the camera. surgical, cloth or respirators) can be recognized without separate enrollment. Persons wearing protective facemasks (i.e. See technical specifications for more details. VeriLook 12.2 performs fast and accurate detection of multiple faces in live video streams and still images.Īll faces on the current frame are detected in 0.01 - 0.86 seconds depending on selected values for face roll and yaw tolerances, and face detection accuracy.Īfter detection, a set of features is extracted from each face into a template in 0.6 seconds. The VeriLook algorithm implements advanced face localization, enrollment and matching using robust digital image processing algorithms, which are based on deep neural networks:
#Free facial recognition software for mac free#
#Free facial recognition software for mac verification#
Face Verification SDK is available for developing large-scale high-security apps.Available as multiplatform SDK that supports multiple programming languages.Near-infrared and visible light spectrum facial images can be matched against each other.Webcams or other low cost cameras are suitable for obtaining face images.Emotion recognition and facial feature points extraction.Gender classification and age evaluation for each person in an image.Simultaneous multiple face processing in live video and still images.
face mask or respirator) can be recognized. Live face detection prevents cheating with a photo in front of a camera.Millions of algorithm deployments worldwide over the past 17 years.
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