Artificial intelligence to process images, extract valuable information and automate processes and decision making

Francisco Gala

Computer Vision Head of Unit
Francisco Gala

We research, test and improve emerging AI-based image-analysis technologies and we develop innovative computer vision solutions for different business areas. Our goal is to incorporate these new tools into  Atos Computer Vision Platform and expand Atos portfolio of next-gen AI solutions. 


Artificial intelligence is able to learn to identify objects, people, events and behaviours in a similar fashion as our eye-brain combo does. Computer vision processes video streams, often in real time, and this way we are able to create tools aimed at safeguarding critical infrastructures, protecting public spaces, automating effort-consuming tasks and creating unique customer experiences, among many other things. Computer vision is a fast-evolving field with a massive growth potential and, when it is combined with highly autonomous systems such as robots and swarms of drones, the possibilities are truly fascinating. 

In Atos Research and Innovation we work alongside European and international top researchers to make all this happen. We closely follow many research lines so we are prepared to make our computer vision solutions faster, better, lighter, more reliable and readily available. We work towards reducing system loads and reduce processing time from days to something able to respond in real time while maintaining maximum accuracy. We also optimise our platforms so all the calculations can take place in edge devices and hybrid edge/server configurations, thus increasing the flexibility and versatility of all our tools. Our ultimate goal is to maximise Atos AI capabilities, develop the most advanced computer vision tools for our clients and deploy the best cost effective solutions for highly complex business cases. 


We aim to generate high value in many areas, such as:

  • Surveillance of public spaces, critical infrastructure protection, border control
  • Advanced systems applied to security, crisis management, emergency response, and increased resilience
  • Solutions aimed at preventing and responding to Chemical, Biological, Radiological, and Nuclear (CBRN) threats
  • Complex event processing, data mining (opinions, audio, actions, behaviours), data and context fusion, advanced visual analytics (accurate 3D generation from partial 2D data)
  • Computer vision capabilities to increase performance and autonomy of next generation robots, swarms of drones and unmanned vehicles
  • Improved efficiency of labour-intensive processes (agriculture, farming, forest management), remote inspections (motorways, railroads, wind farms, infrastructures) quality control and health and safety (manufacturing, detection of fire and smoke)
  • Fusion of image processing AI and natural language processing AI