Two-factor identification system in classrooms

Description 

The utility model “Two-factor identification system in classrooms” includes five main modules: 

• Module 1: Server with a database - stores information about participants, including their photos and numerical characteristics of faces obtained through machine learning algorithms. 
• Module 2: Electronic device (server) - serves as an intermediary for communication between the devices and the database. 
• Module 3: Computer - performs calculations related to machine learning and artificial intelligence to process biometric data from sensors (for example, a camera). It also establishes a connection with Module 2 for data storage. 
• Module 4: Camera - captures the image of the person being identified and transmits the visual data to Module 3 via a network connection. 
• Module 5: Electronic reading device - provides the second factor of identification, for example, by reading a contactless card, and sends the data to Module 3. 

 

Opportunities 

This system uses two-factor authentication, with the first factor being biometric facial recognition and the second being an electronic reader that provides additional security. This ensures that only authorized participants have access to the classes, applying advanced machine learning and artificial intelligence technologies to process and verify identities.