ULA Police

automated platform

ULA Police general description

The innovations that shape the future of law enforcement start with new technologies that generate new approaches to security of our society.
ULA Police - Innovative use of technology, intelligence and data analytics in law enforcement
ULA Police is an automated platform for processing data from CCTV cameras, which allows you to reduce the time for checking vehicles and/ or persons, as well as for early detection of potentially dangerous situations to a few seconds in real time.
Processing any number of video streams with the possibility of further expansion and integration into one homogeneous unified system
Role based user access, unauthorized access control and data protection mechanisms
Combining different analytic scenarios within a single video stream.
Pre-recorded and life-stream video analysis
automated platform for processing data
External systems integration capabilities
Support of the main standards and protocols of ONVIF, RTSP
Notification module for users
Maintaining complete statistics of obtained data
Logging of all user actions
and system errors
Back-up of all information and
settings in case of technical failure
Data retention policy and storage
consumption control
Flexible adaptation
to various business tasks
Integration with the most common
surveillance systems
A digital signature
module
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Transport detection

  • Recognition of registration plates, brands, models, and colors of cars
  • Reconstruction of the route of a vehicle during the day
  • The ability to view the history of the appearance of a vehicle in the field of the video cameras view
  • Traffic congestion
    monitoring
Transport detection
The ability to create vehicles operational database with capability to fulfil the search based on specified parameters:
  • A brand / model of a vehicle (if there is an appropriate sample in the system)
  • Full registration plate or a partial set of its symbols
  • Checking vehicles for compliance with registration data
  • Date, time of a search period
  • Camera position and orientation
  • Identification of vehicles on the wanted list
  • A color of a vehicle
  • Type of a vehicle
  • Detection of vehicles in case of penalties/fines are imposed on their owners
  • Detection of vehicles the owners of which violate the requirements of compulsory insurance
  • Detection of traffic average speed, including speed violations.
Transport detection 2
Transport detection 3

Traffic regulations monitoring

  • Over speeding
  • Violation of red-light
    stopping rules
  • Violation of the rules
    of overtaking
  • Violation of the rules for crossing intersections
  • Violation of railway
    crossing rules
  • Violation of stopping
    and parking rules
  • Violation of oncoming traffic lanemovement rules
  • Violation of traffic rules and stops on the road
  • Violation of sidewalks and footpaths parking/movement rules
Traffic regulations monitoring
Traffic regulations monitoring 2

People

Face recognition
Creation of database with capability to fulfil the search based on specified parameters:
  • Ethnicity (African / Caribbean, Arab, Caucasian, East Asian, Hispanic, Indian Subcontinent)
  • Gender
    (Male / Female / Unclassified)
  • AGE (Child 2-15 years, Teens/Young Adult 15-35 years, Adult 35-55 years, Elderly 55 years)
Face recognition
Face recognition 2
  • Clothing elements color (upper/lower)
  • Creation of an archive of faces with the ability to search through specified parameters
  • Face recognition and real-time comparison with data from the sample database
  • Crowd detection, including
    restricted areas
  • Monitoring the movement of people in a specific direction
  • Unusual behavior
    detection.
  • Construction of people route movement, based on their appearing on cameras with the ability to view the route history
  • Collecting of samples of faces

Situational analysis

  • Detection, classification and tracking of given objects
  • Monitoring
    of social behavior
  • Monitoring compliance with the rules of social distance
    (epidemics, pandemics, etc.)
  • Identification of man-made incidents (fire, accident, etc.)
Situational analysis
  • Abandoned /
    lost items identification
  • Violation of the rules
    for walking animals
  • The system can be trained according to user request within a given scenario
Situational analysis 2
Situational analysis 3

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If you have any questions or something remains unclear, our specialists will find answers even to the most difficult questions.

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