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Oman Global

FACE RECOGNITION
IN PRE-TRIP MEDICAL CHECK-UPS

PARTNER REVIEW

«We chose the NtechLab’s recognition algorithms because the speed of medical examination is crucial in our systems and it is unacceptable for an unauthorized person to pass the examination. Facial recognition saves time, which amounts to dozens of hours per month for a large number of examinations, so every second counts. NtechLab has proven to have the most advanced technology on the market.»

Ekaterina Galustyan
Head of marketing at MedPoint24

THE PROJECT IN NUMBERS

With instant and accurate face recognition, the solution shows exceptional efficiency in all conditions
100% protection
against medical examination spoofing
Over 30 000
check-ups conducted monthly
Up to 35 hours each month
saved on identity verification during medical examinations

PARTNERSHIP OUTCOME

Organization of automated pre-trip medical examinations for the largest operator of the aviation fuel business using the technology of employee identification by face. With the help of NtechLab’s solution, MedPoint24 has implemented automatic face recognition in the systems for pre-trip medical check-ups. As a result, each examination is on average 4 seconds faster.

One of the main requirements for specialized equipment drivers is a perfect health condition, especially when it comes to handling flammable or potentially dangerous substances. Daily medical check-ups are a mandatory procedure. Systems of automated medical examinations with face recognition are especially useful in large facilities, where speed and accuracy are key factors.

PARTNER

MedPoint24 is a leader in the automation of employee medical examinations. They carry out contactless medical examinations: manufacture and install hardware and software systems for pre- and post-shift medical examinations anywhere in Russia. In-house medical teams carry out continuous inspections of personnel and 24-hour issuance of admissions to the trip or shift using the latest technologies.

OBJECTIVES

1. To reduce the time of pre-trip medical examinations.
2. To improve enterprise security without sacrificing the convenience of employees.
3. To exclude the possibility of medical examination by unauthorized individuals.

SOLUTION

Face recognition in the systems of pre-travel medical examination was implemented using the FindFace SDK library. The system authorizes the employee in a fraction of a second, and the built-in anti-spoofing Liveness module confirms that the person in front of the camera is not an image on paper or display. As a result, employees do not waste extra time confirming their identity, thus increasing overall performance.

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