VisionLabs LUNA PLATFORM

VisionLabs LUNA PLATFORM is a face recognition system that solves the problems of face detection and comparison, determination of quality and attributes (gender, age, race, etc.) on images using trained neural networks. Possible scenarios for VisionLabs LUNA PLATFORM application: – face identification by images , detection of anomalies and violations in real time. The ability to promptly and objectively investigate incidents, reduce the risks of fraudulent activities; – identification and verification in remote service channels; – face identification in self-service devices (ATMs, payment terminals, dashboards); – biometric identification of employees and time tracking; – monitoring compliance with measures aimed at curbing the spread of epidemics (including COVID-19) by identifying crowds in various areas, checking the observance of the distance, determining the presence of a mask; – monitoring the wearing of protective equipment (helmets, gloves, vests, etc.) to comply with the rules of labor protection and industrial safety; – biometric electronic digital signature (signature of documents "on the face"); – determination of emotions; – biometric acquiring (payment on the face). Those. The VisionLabs LUNA PLATFORM specification is designed to solve the following tasks: Face detection and extraction of biometric face templates Face identification (1: N comparison) Face verification (1: 1 comparison) Face group comparison (N: M comparison) Facial attributes assessment Facial properties extraction Photo quality assessment Photo storage Logical grouping Faces Graphical user interface Plotting ROC curves Notifying external systems about events (for example, about matching descriptors)