Computer Vision

What It’s For:

  • Controlling Processes: Industrial robots, autonomous vehicles.
  • Detecting Events: Surveillance, people-counting.
  • Organization Information: Indexing databases of images or sequences.
  • Modelling Objects or Environments: Industrial inspection, medical imaging, topographical modelling.
  • Image Analysis: Detection of image defects, inspection of image contents.

How It Works

Image Processing: Noise filtering, regions/edges extraction.

Feature Extraction: Colour, appearance, motion, structure.

Detection: Objects, body parts, locations, etc.

Recognition: People, faces, gestures, scenes, objects.

Other: GPU, robotics, machine learning, photography.


Machine Learning

  • Deep Learning Applied to Computer Vision Solutions: Used for object detection and tracking, object classification, verification, etc.
  • Artificial Neural Networks (ANN): Development of industrial ANN-based applications allowing for problem customisation. ANN can be used for controlling industrial processes, forecasting variables and classifying events among others.
  • Classification: Supervised machine learning applied to the classification of data samples in different pre-defined groups.
  • Anomaly Detection: Unsupervised machine learning applied to the detection of abnormal behaviour and/or abnormal events and outliers.

Other Artificial Intelligence Solutions

  • Expert Systems & Recommenders: Software to simulate the problem-solving behaviour of an expert.
  • Optimization Problems: Algorithms for optimising the performance of industrial processes.
  • Data Analysis: Statistical analysis of sensor data for data estimation, data forecasting, the creation of data clusters, and data classification.
  • Semantic Analysis and Natural Language Processing (NLP): Software to analyse, understand summarize, and generate human language.

App Services

  • Device Integration & Bluetooth 4.0: Use personal smartphones for data mining using wireless and low powered sensors.
  • Geolocation Apps: Use geographical information to provide additional services to current applications.
  • Professional apps: Development of applications for specific industries and sectors.
  • Direct consumer interaction: Procedures to obtain information and feedback in real time from customers.
  • Customizable UI: Customisable user interfaces for different users and ages.

Web Technologies

  • Web Applications: Application software that runs on a web browser. They are popular due to the ubiquity of web browsers and the ease of use for clients.
  • Microservices Architecture: We develop flexible and independently deployable functional services that lead to the achieval of overall goals via cooperation.
  • Integration Platforms: Cloud platforms that provide the necessary middleware for heterogeneous communication services.
  • Data Repositories: Relational and non-relational databases. Time-series databases.
  • Technologies: HTML5, Javascript, Ext.JS, Angular, Node.JS., .NET, Java, JSP, PHP, Spring, Python, Apache, Django, Thrift, Docker, etc.
  • Industrial and Enterprise Solutions: Remote industrial monitoring. Industrial integration. Data Warehousing, Business intelligence solutions.