Facial recognition
in health facilities

Face recognition technology is used in the medical field in various ways. One common application is patient identification and access control. For example, a hospital or clinic may use facial recognition to identify a patient when entering the facility and then use this information to give access to certain areas or to obtain his or her medical records. This can help to improve the safety and effectiveness of the institution.

Another medical application of facial recognition is patient tracking and monitoring. For example, a hospital can use facial recognition to track patients' movements within the facility, as well as to monitor their vital signs or other health indicators. This can help ensure that patients receive timely and appropriate care.

Face recognition technology can also be used in medicine for research purposes, for example, to analyse data on large groups of patients to identify trends or correlations.

Market analysis

In Russia there is an active introduction of facial recognition technology. Between 2015 and 2018, they increased their share of the Russian biometric market to almost 50%, demonstrating an incredible CAGR of 106.7%.

According to a Frost & Sullivan report, the global health facial recognition market in 2014 was $633.8 million. And in 2022, according to J'son and Partners Consulting, it rose to $40 billion. In Russia, it is estimated at more than $300 million.

Customer experience

Use cases

Collecting patient statistics

Facial recognition technology allows the collection of general statistics on patients and the identification of patterns by sex and age. These anonymised data can then be used to provide personalized services and make generalized health forecasts.

Tracking and monitoring of patients

The hospital can use facial recognition to track patients' movements within the facility, as well as to monitor their vital signs or other health indicators. This can help ensure that patients receive timely and appropriate care.

Research purposes

To analyze data on large groups of patients to identify trends or correlations.

Access control to staff quarters

LUMIFACE limits the risks of counterfeiting RFID-cards of employees, their loss, transfer to third parties, access of several people on one card.