FIELD: computer technology.
SUBSTANCE: invention relates to the field of computer technology, in particular, to methods and systems for recognizing faces and emotions based on a video stream, and can be used to monitor the emotional state of employees in organizations. The technical result of the proposed technical solution is achieved by performing face recognition on frames received from the video stream, classifying emotions using the first neural network; compare the face image with the database of employees to obtain the employee identification coefficient based on the descriptors, determine the coefficient of the employees' emotional state by counting the aggregated emotions of the employees and the performance indicators of the employees, display the obtained coefficient of the employees' emotional state on the information media screen.
EFFECT: improving the accuracy of recognition of the emotional state of employees.
7 cl, 6 dwg
