Natural Language Processing (NLP) is a direction of artificial intelligence aimed at teaching a computer to process natural language of a human. The Centre for cognitive technologies provide the following solutions in natural language processing:

  • Arrangement of textual information (search and storage of data; classification, indexing and routing of information).

  • Introduction of support systems for decision-making.
  • Detection of negative feedback related to object/service aimed at reputation or service improvement, analysis of utterances and publications sentiment.
  • Textual smart counteraction with a customer.
  • Smart search in corporate data storages.

Scope of applicability of speech technologies is increasing along with the demand of different businesses and industries for convenient voice interaction. The Centre for cognitive technologies possesses a wide range of competences needed for project implementation in this sphere:

  • ​Speech recognition (transcribing).
  • Text-to-speech engines (generation of voice signal on base of printed text) and voice announcement systems.
  • Smart voice helper, voice requests processing.
  • Systems of biometric control of access, logging and search.
  • Systems for call-centers quality and automation management.

The Centre is developing expert investigation in elaboration and introduction of solutions on the base of computer vision (video-analytics) in the following directions:

  • Facial biometrics, people recognition (recognition of sex, age, emotions and gestures), identification of congestion, crowd, queue, calculation of people.
  • Detection of intrusion, movement, running, fight, idleness, line crossing, upstream motion.
  • Smoke, fire, open flame, activity zone detection.
  • Recognition of transport, vehicle plate number, rail carriages, traffic offences, traffic jams.
  • Detection of left or carried away things, finding ownerless goods.
  • Identification and tracking of various objects (identification of object location and path of its motion by means of a camera).
  • Analysis of occupational health and safety compliance at production site (identification whether the employees use individual protective gears, are present in a dangerous zone, etc.)

  • Analysis of images, defect identification, analysis of material loss, parts wear, etc.).
  • Recognition of wares on the shelf, control of operations execution, fullness of shelves and warehouses; identification of customer traffic in shops and other premises.
  • Generation of images, heightening image resolution and granularity.

Machine learning is a direction of artificial intelligence aimed at not direct solution of the task but at learning while solving a mass of similar tasks. Tools of calculus of probabilities and mathematical statistics, numerical methods, graph theories, optimization methods and other techniques of work with data are used.
Work with Big Data and Internet of Things
  • Development and introduction of algorithms of data analysis from various sensors, senders and cameras.
  • Smart information reduction.
  • Development of unification approaches for heterogeneous data bases in order to perform their further processing by means of machine learning algorithms.
  • Systems of technological processes information collection and provision of the operator with recommendations in order to achieve necessary values.
  • Forecast of production and energy and resources consumption.
  • Analysis and forecast of various effects influence on operation factors of products and equipment.
  • Preventive alerts of probable abnormal situations.
  • Forecasting equipment failure and shift from service as per regulations to condition-based maintenance.
​​Predictive analytics
This direction specializes in patterns search in accumulated historical records for their further use in order to perform event, changes forecasting, etc. Forecasting is necessary for making optimal managing decisions in any sphere. When applying predictive analytics technologies, we are able to help in providing solutions in the following areas:
  • Forecast of target value alteration for all spheres.
  • Smart distribution of customers between groups according to their buying activity (segmentation of customer base).
  • dentification of the most promising customers with respect to sales boost.
  • Forecast of customer outflow in order to take well-timed measures aimed at customer retention.
  • Development of recommendations aimed at proposing the most suitable goods to the customer.
  • Specification of market segments for various types of goods, identification of probable consumer groups.
  • Forecast of customer’s behavior.
  • Forecasting the volume of sales and expenses (products, materials).
  • Forecast of consumer demand and planning sales promotions.
  • Detection of abnormal users, objects and transactions.
  • Introduction of RPA technology (Robotic Process Automation, a technology of business processes automation by means of software, replacing people by virtual robots for execution of homogenous operations at user interface level).
  • Analysis of opportunities and planning of measures aimed at «Industry 4.0» standard introduction at manufacturing site.
  • Robotic automation of routine monotone operations.
  • Design of smart robotic systems.
  • Introduction of power-driven robots in order to perform motor and control functions at manufacturing site.

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Development and implementation of artificial intelligence systems.