We build surveillance systems powered by AI

Intrusion detection cameras

Perimeter protection is aimed at preventing people and vehicles from entering the territory. However, conventional surveillance systems do not classify the object well enough, resulting in false alarms constantly occurring.

Based on the deep learning algorithm, technologies have been created to distinguish people and cars from other objects, which removes false alarms, thereby making the security system effective and reliable.

Objects Recognition
IP cameras are now able to identify objects and classify them into three categories.
определение человека
Human - alarm
Humans are the main offenders.
определение машины автомобиля
Vehicle - alarm
Vehicle tracking and number plate recognition.
определение живонтых
Other - do nothing
Light, raindrops, cobwebs, leaf movement, animals, etc. no longer cause false alarms.
Recognition in any conditions
  • Accuracy
    Overall accuracy rate over 99%.
  • Speed
    Recognition of people and vehicles occurs nearly instantly.
  • Working in low light
    Fast recognition even in low/insufficient light or in complete darkness.

Implementation examples

The camera is given an intrusion / crossing zone and a person or a car crosses the border, the camera issues an appropriate signal.
View other completed projects

Image quality

The accuracy of recognizing an object directly depends on the quality of the image from the camera - the higher the quality, the higher the accuracy.

Our services

We implement a full-fledged access control and / or time tracking system:

  • documentation
  • implementation
  • technical support
  • warranty

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