| Age category (group) |
A group of people that is within a specified range of ages. In accordance with the age periodization of the World Health Organization, groups 18–44 (young adults), 45–60 (middle-aged adults), 61–75 (older adults) are distinguished |
| Attributes |
Age, gender, automatically determined by the system |
| Authorization |
A security mechanism to determine access levels or user privileges related to system resources |
| Avatar |
A visual representation of the face that can be used in the user interface |
| Best shot |
A frame of the video stream, in which the face is captured in the optimal angle for further use in the face recognition system |
| Biometric sample (sample) |
Analog or digital representation of biometric characteristics prior to biometric feature extraction and descriptor generation |
| Descriptor |
A binary data set prepared by the system based on analyzed characteristic. It is a composite vector of person's face attributes |
| Candidate |
Applicant for similarity with the reference |
| Cross-matching |
Many-to-many comparison (M:N). In the context of this document, comparing multiple lists |
| Task |
A task that is created by a user and runs in the background. In LUNA POINT, tasks include cross-matching, export, batch processing, batch import, and batch identification |
| Detection |
FaceStream entity that contains the coordinates of face and the estimated value of the object that determines the best shot |
| Event |
Detection recorded by the system with the extraction of attributes by the handler |
| Event card |
An information block displaying data about the event |
| Exchangeable image file format (EXIF) |
A standard for embedding technical metadata in image files that many camera manufacturers use and many image-processing programs support |
| Extraction |
A descriptor extraction procedure |
| Face card |
An Information block displaying data about the face |
| Face recognition |
A set of methods for collecting, processing, and storing data of person's face images for identity recognition or identity confirmation using mathematical methods |
| Faces |
Changeable LUNA PLATFORM 5 objects that contain information about one person |
| Handler |
Image processing entry points that characterize the image processing procedure and define the LUNA PLATFORM 5 algorithms used for this |
| Handling policy |
A set of rules (policies) for image processing |
| Identification |
Search for the most suitable descriptor by comparing the vectors of face features with a list of similar descriptors in the database (one to many) |
| List |
A set of faces in the LUNA PLATFORM 5 system, combined automatically or manually according to a certain criterion |
| Liveness |
A software method to confirm the vitality of a person by one or several images in order to prevent spoofing attacks |
| LUNA PLATFORM 5 (LP5) |
VisionLabs automated facial recognition system designed to process, collect, analyze, store, and compare biometric data obtained from facial images |
| Matching |
A procedure of matching descriptors for the purpose of comparison |
| Physical access control system (PACS) |
A set of hardware and software tools aimed at controlling the entrance and exit in order to ensure safety and regulate visits to a particular facility |
| Reference |
Object (attribute, face, face and event external IDs, event track ID, descriptor) that is compared/verified with the candidate. |
| Similarity |
Probability characteristic in the range from 0 to 1, characterizing the level of similarity of subjects of biometric data |
| Spoofing attack |
Substitution of a real person for a fake image (for example, a photograph) to deceive the system |
| Track |
Information about object’s position (face of a person) in a sequence of frames |