Computer vision technologies

Computer vision technology is a component of artificial intelligence and provides business value by capturing, recognising and generating meaningful information from video and images in real time. Nowadays, computer vision technology is widely used in a variety of industries and functional areas. It can detect anomalies in production processes, identify objects, analyse various images, find and report errors. Computer vision technology is becoming increasingly integrated with machine learning, which offers organisations not only new, but significantly greater opportunities to extract value from data.
 
Computer Vision is a field of artificial intelligence that enables computers and systems to derive meaningful information from digital images, videos and visual data and take actions or make recommendations based on that information. Computer vision enables computers to see, observe and understand. Comprehensive solutions based on Computer Vision are already being used extensively in a variety of business and industrial applications. The market size as of 2021 is US$ 12.22 billion and is expected to reach US$ 20.05 billion by 2028.
 
 

Involving Metinvest Digital's R&D centre in the development and implementation of solutions based on computer vision technology will unlock new opportunities for the implementation of innovative artificial intelligence technologies:  

  • Detect and identify specific people through facial recognition
  • Analyse the quality of objects when classifying and sorting
  • Improve product quality control by checking for defects, foreign matters, colour changes, and quantity of components
  • Use optical systems to count the number of objects on production lines, in warehouses, etc.
  • Detect damage in shops, warehouses, and transport
  • Other
 
 

Metinvest Digital's R&D team has extensive experience and expertise in developing and implementing solutions based on computer vision technology and will help your organisation to:  

  • Analyse the current situation and identify processes that could be improved by computer vision technology
  • Test the technology, create a prototype/MVP product and test it
  • Develop a roadmap for the implementation of computer vision technology
  • Ensure the development and integration of solutions with other information systems
  • Provide technical support for implemented solutions.

Consultation

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