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ULA Video

Software for automated analysis of video data obtained from thousands of different cameras.

What is ULA Video?

The ULA Video uses machine and computer vision pre-trained algorithms designed meet highly demandable routine, but complex business scenarios.
What is ULA Video
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The analytical pipelines are capable to quickly and efficiently collection, evaluation, and analyze information obtained from thousands of different cameras, which can be located tens or hundreds of kilometers apart, as well as in remote areas.

What is ULA Video
How does ULA Video work?
ULA utilizes machine vision algorithms as its foundation, enabling it to detect and identify:
  • Faces
  • Vehicles
  • Objects
  • Items
  • Events
  • Processes
as well as much more that comes within the field of view of video surveillance cameras is automatically converts into the valuable information presented in tables, dashboards, charts views or any other form of reports bringing additional insights into front of data.
How does ULA Video work? How does ULA Video work?
The algorithms and neural networks integrated in this software can be further trained to recognize specific objects and actions that are not included in the basic functionality. This allows the existing product to be customized to meet the individual requirements of the customer, making it suitable for various industry-specific solutions.
Why is ULA Video needed?
ULA Video software helps solve various business challenges, such as:
  1. Finding specific objects, subjects, vehicles, and people
    Finding specific objects, subjects, vehicles, and people
  2. Analyzing marketing activities
    Analyzing marketing activities
  3. Detecting any vehicles and tracking cargo
    Detecting any vehicles and tracking cargo
  4. Improving employee performance and results
    Improving employee performance and results
  5. Reducing losses, theft, and damage while increasing profits
    Reducing losses, theft, and damage while increasing profits
  6. Ensuring safety and preventing threats
    Ensuring safety and preventing threats
  7. Optimizing various processes and routes
    Optimizing various processes and routes
  8. Tracking employee work time
    Tracking employee work time
  9. Analyzing customer behavior and improving service quality
    Analyzing customer behavior and improving service quality
ULA Video for Persona analysis
Face recognition
Face recognition
Detection and recognition of people's faces in videos, including identifying gender and age group, emotions, appearance details, etc.
Behavior recognition
Behavior recognition
Detection of suspicious behavior in videos, such as theft of objects, children or adults, suspicious movement, suspicious actions, etc., which may indicate potential threats or unlawful activity.
Passenger flow analysis
Passenger flow analysis
Detection and analysis of passenger movement in videos in crowded places such as airports, train stations, shopping centers, etc., to analyze the number of people, determine popular routes, distribute passengers, create personalized advertising, improve marketing strategies, and increase sales.
Access control
Access control
Facial recognition systems can be used to control access to buildings, offices, warehouses, and other premises. Instead of keys, cards, or passwords, systems can use facial recognition, which improves security and convenience for users.
Emotion analysis
Emotion analysis
Detection of mood, facial expressions, gestures, and other signs of emotional state, including alcohol or drug intoxication. This helps prevent conflict situations between people, early detection of potential incidents, and provides an understanding of the overall emotional state and mood of society.
ULA Video for Vehicle identification
Analysis of objects' trajectory
Analysis of objects' trajectory
Video analytics can analyze the trajectories of moving objects in video footage to obtain statistical information such as average speed, number of objects, traffic density, stops, turns, time intervals between objects, and more.
Recognition of road signs
Recognition of road signs
Detection and recognition of road signs in video, such as speed limit signs, prohibition signs, direction signs, and also detection of their absence or damage.
Vehicle analysis
Vehicle analysis
Detection and analysis of characteristics of vehicles in video, such as make, model, colors, license plates, various aspects of movement such as speed, direction, vehicle type, and more.
Incident detection
Incident detection
Detection of accidents, falls, sudden changes in the movement of objects in video, violation of traffic rules, and automatic notification or interaction with security or emergency services.
Traffic video analysis
Traffic video analysis
Real-time tracking of traffic movement to optimize traffic management, improve road safety, and enhance overall infrastructure efficiency.
ULA Video for Object recognition
Object recognition
Object recognition
Recognition of objects such as protective gear (masks, shoes, helmets, etc.), weapons, cars, bicycles, license plates, vehicles, animals, various objects.
Object absence detection
Object absence detection
Detecting the absence of objects or activity in specified areas or for a certain amount of time, which can be useful for detecting loss of objects, unauthorized activity, signal loss, and more.
Object observation
Object observation
Tracking specific objects or object categories in video to detect dangerous or unwanted objects, forgotten or stolen items, detection of static objects or certain activities such as falls or collisions, and for tracking prohibited items.
Object classification
Object classification
Analytics can classify objects in video images based on their type, such as cars, trucks, motorcycles, or based on other attributes such as color, size, shape, etc.
Object search
Object search
Video analytics can perform object searches on video considering specified parameters such as color, shape, size, and other attributes, which can be useful for searching lost objects or analyzing past events, determining travel routes, tracking the duration of stays in certain areas, and more.
Advantages ULA Video
  • Ability to retrain:

    The ULA Video system can be trained to recognize specific objects, such as detecting various types of transportation vehicles and classifying them, as well as detecting and identifying different objects in infrastructure or people.

  • Fast data processing:

    ULA Video has a high speed of processing offline and online video files and photos due to the use of modern technologies for processing large volumes of data.

  • High accuracy of analytics:

    Improvement of object recognition quality, transport, or people based on repeated appearances in the frame on any camera connected to ULA Video.

  • Flexibility and scalability:

    ULA Video has a distributed two-level architecture that allows the system to be customized to the specific needs of the customer and scaled as needed.

  • Wide functionality:

    ULA Video can not only recognize objects but also analyze their actions, determine their behavior, size, shape, count the number of objects, allowing for various tasks related to security, monitoring, and process management.

  • Integration with other systems:

    ULA Video has the ability to integrate with any customer systems (video surveillance or access control systems) for business process automation or information exchange in "server-server" mode, which significantly speeds up data processing.

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