Face Recognition

Identification using an unlimited-size database.
Includes face detection, demographic analysis (gender, age, ethnicity), and face or attribute search.

License Plate Recognition

The module allows you to recognize license plates at vehicle speeds of up to 30 km/h (STD edition) or up to 270 km/h (PRO edition), supports recognition for one selected country from a list of 30 supported countries with support for special license plates, as well as the ability to connect additional countries.

PPE Control

The module monitors the proper use of personal protective equipment, identifies employees, detects more than 15 types of PPE, and checks whether they are worn correctly and completely. The module delivers high accuracy by using advanced computer vision and artificial intelligence technologies.

People Counter

The module allows you to count incoming and outgoing visitors using IP cameras. The module counts the number of people crossing a pre-set line in one of two possible directions ("entrance" and "exit").

Heatmap

The module is used to determine the popularity of different areas (counters, storefronts) in the store, identify preferred movement routes, and analyze visit statistics for different locations. It allows you to assess movement activity and identify the main pedestrian flow patterns.

Interactive Dome

The intelligent software module for interactive control of Speed Dome cameras pairs an overview camera with a PTZ camera to enable automatic control of the high-speed PTZ camera. The Speed Dome interactive camera control module can work both in manual (STD edition) and automatic mode (PRO edition).

Queue Detector

The module is designed to count people in queues within the field of view of IP cameras. The use of a software analytical queue length detector makes it possible to perform quantitative analysis and monitor changes in queue status over time.

Abandoned Object Detector

The module allows you to detect abandoned items. A stationary object that remains in the surveillance area longer than the interval set by the system administrator is classified as an abandoned object. Information about it is sent to video surveillance operators and stored in the archive for later search and analysis.

Sabotage Detector

The module detects camera rotation, changes in the field of view, lens obstruction by a foreign object, overexposure, and camera defocus. When sabotage is detected, an alarm is generated and can be handled according to the facility’s security requirements. It is possible to display a visual or audio notification.

Fisheye Conversion

The module is designed for software dewarping of images from panoramic fisheye cameras. Thanks to the module, you can view several "expanded", flat images instead of one distorted image. And also get an enlarged image of the expanded areas.

Loud Sound Detector

The loud sound detector allows you to respond to an increase in sound volume captured by the camera microphone.

Tracking

The module tracks the movement of objects in the camera's field of view and triggers an alert when a preconfigured event occurs.

POS Module

An intelligent module for integrating with point-of-sale terminal software via the JSON protocol. The cash register control module is designed to monitor the actions of cashiers during sales and customer checkout transactions, as well as to resolve and prevent situations that can cause material damage to both the trading company and its customers.

Neural Network Fire/Smoke Detector

The neural network fire and smoke detector allows you to detect fire and smoke in the video stream at early stages, in harsh industrial environments, as well as in low-light conditions. The module achieves high accuracy due to the use of the latest machine vision and artificial intelligence technologies.

Neural Network People Counter

The module allows you to count the number of incoming and outgoing visitors using IP cameras. The module counts the number of people crossing a pre-set line in one of two possible directions ("entrance" and "exit"). Using a neural network can significantly reduce the number of false positives.

Neural Network Emergency Detection

Detection of distress signals, such as when a person sends an SOS signal to the camera by waving or raising their hands above their head, as well as human fall detection to determine whether a person is walking, falling, or lying down.

Neural Network Abandoned Object Detection

The module detects stationary objects (bags, suitcases, or backpacks) that remain in the monitored area longer than a specified time interval. The module achieves high accuracy due to the use of the latest machine vision and artificial intelligence technologies.

Neural Network Mobile Phone Detection

The module detects mobile phone use in the crane cabin, including watching videos or playing games on the phone. The module achieves high accuracy due to the use of the latest machine vision and artificial intelligence technologies.

Neural Network Personnel Monitoring

The module detects an employee in a video stream within a defined work area. After the specified inactivity period expires, an employee who leaves the zone is considered absent from the workplace. The module achieves high accuracy due to the use of the latest machine vision and artificial intelligence technologies.

Neural Network Object Detector

Detects specified types of objects in the image with high accuracy: people, vehicles, and animals. When a person enters a given area, the module generates an alert. Using a neural network can significantly reduce the number of false positives.

Face Detector

The module automatically detects faces in the video stream and stores them in an archive for later search. The search is carried out in the "Object Search" mode - you get a database of detected persons for the required time interval and by the necessary cameras.

Smoke Detector

Detects smoke in the video stream. When smoke is detected, an alarm is generated and can be handled according to the facility's safety requirements. It is possible to display a visual or audio notification.

Fire Detector

Detects open fire in the video stream. When a fire is detected, an alarm is generated, which can be processed in accordance with the safety requirements at the facility. It is possible to display a visual or audio notification.

Personnel Activity Monitoring

The module monitors personnel activity in a given area in real time.

External Microphone Integration

The module allows you to connect external microphones to the system. Microphones can be managed without linking them to video.

QR / Bar Code Detector

The module allows you to detect QR codes and barcodes.