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FACEIDS:

IDENTIFICATION SECURITY SERVICE

Intelligent face recognition system

НАШИ УСЛУГИ

For the security of any type of enterprises

The system is already suitable:
For the security service – sensitive security
For tracking employees ' working hours and attendance

Face recognition
Face recognition

This is a technology that speeds up the service process, whether it's going through customs at the airport, getting a loan online, or serving customers at the store's checkout.

To control the entrance of vehicles to the parking lot
To control the entrance of vehicles to the parking lot

To control the entry of vehicles to the parking lot – each transport counts

Managing employees
Managing employees

The manager or HR manager enters information about employees and writes down scenarios of requests.

Managing employees
Managing employees

The manager or HR manager enters information about employees and writes down scenarios of requests.

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Example of how FACEIDS work

Requests to a logged-in employee: ​

Greeting a person
Birthday greetings
Other messages that raise your mood and motivate you to work (preferably different every day)
Announce the work plan for this particular employee

Requests to the outgoing employee:

Say goodbye to a person (if the working day leaves on time or is unlimited for a certain time)
If you are late in the morning – warn that you will not be late for another day
Other messages that raise your mood and motivate you to work for the next few days (preferably different every day)
If it leaves before the scheduled time-ask the reason and record the voice of the answer

FAQ's

Face recognition is a technology that allows you to automatically identify (recognize in a photo or video) or verify (confirm that this particular person is in the frame). For recognition, neural networks are used that can read and analyze the unique features of a human face, and then compare them with the database.

The technology is based on two neural networks:

The first is the"aligner" network. It takes a picture that comes from a surveillance camera, detects all the faces it can find, and then aligns them: it detects the points of the eyes, nose, and mouth on the face.

The second is the"recognizer" network. It accepts the input of an aligned image transmitted by the first neural network, and outputs a face vector - that is, a set of fixed-length numbers. For similar faces, the network produces similar vectors and vice versa.

A high-quality modern video surveillance system should not only record and display images on the screen, but also perform a number of analytical functions. One of the most popular is the recognition and identification of people (persons) in the control zone , both online and offline.

Do you want to cooperate?
Send a message to
info@tadi.uz

+998 (90) 590-84-85

Uzbekistan, Tashkent, Mirzo-Ulugbek district Buz-2 Building 4

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