Computer Vision

What 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: Detect image defects, inspect image contents

How It Works?

Image Processing: Noise filtering, regions/edges extraction.

Feature Extraction: Color, 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 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 predefined 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 process.
  • Data analysis: Statistical analysis of sensor data for performing data estimation, data forecasting, data clusterization 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 convenience of using it as a client.
  • Microservices architecture: We develop flexible and independently deployable functional services that achieve the application overall goals by cooperating.
  • Integration platforms: Cloud platforms that provide the necessary middleware for communication heterogeneous services.
  • Data repositories: Relational and non-relational databases. Timeseries 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.