Computer Vision Services and Custom Solutions

Hire us to develop custom computer vision models leveraging our experience when you need it.

computer vision services

Computer Vision Services

Computer Vision Services

Leveraging visual information in the era of data explosion is made possible and profitable via the expert use of AI. Here at Mindtitan, we develop Computer Vision applications focused on deriving meaningful information from visual inputs like images and videos at a scale and speed impossible for humans. Our experience in this domain allows us to provide our partners with solutions tailored to their specific datasets, scale and performance needs.

Computer vision use cases

Computer vision use cases
image recognition

Image Recognition

  • Analysis of satellite, aerial/drone, remote sensing or hyperspectral imaging for land cover detection, environment conservation, livestock monitoring, urban or agricultural development
  • Medical diagnosis and prediction via x-ray, EKG and MRI imaging processing
  • Safety monitoring systems that analyse body scanner/metal detector imaging in correctional facilities to detect smuggling.
object detection

Object Detection

  • Detection of production issues or defects in manufacturing
  • Automation of visual inspections of equipment or buildings
  • Warehousing automation and inventory assessments
  • Characterising different production stages in the pharmaceutical industry
  • Crowd counting in public spaces as well as tools to guarantee that a minimum distance is respected when required
  • Workplace safety/PPE monitoring tools
face recognition

Face Recognition

Such capability can be used for:

– access control to restricted areas

– assist law enforcement in identifying criminals and missing persons, even among crowds

– identity validation in a purchase process

Video Recognition

  • Human Activity Recognition tools can be used to assess what activities a person is carrying out and are used in security systems, sport and health surveillance, medical and disability assistance, gaming and human-computer interaction, retail theft prevention.
  • Visual speech recognition
  • Facial and micro expressions recognition
object tracking

Object Tracking

  • Autonomous driving, which at its core consists of an “awareness” of the vehicle position compared to others and the road.
  • Gaze estimation to quantitatively measure human engagement and intention
  • Speed estimation

Frequently asked questions

Frequently asked questions
How do I know that you can solve my problem with Computer vision?

In general, if a decision or choice needs to be made based on visual medium features, if a human can do it, then a machine can do it. It just becomes a question of how much data is available for training and how much effort is required to build the models necessary to achieve the business goals.


Who is responsible for data collection and labelling?

Data collection is most often on the client/SME side, as it is connected to the peculiar business problem to be solved. Labeling can be on the client side if very specific knowledge is required for labeling or it can be outsourced to us or a labeling company. Hybrid solutions are also available and in all cases, we provide proper labeling training and guidelines tailored to the computer vision task.

How long does it take to execute a Computer Vision project?

If you imagine the process made up of iterations of the cycle: data collection, labeling, model development + training, testing & evaluation and deployment into the customer solution, usually the first 2 steps take 20-50% of the time (the smaller the project / standard problem, the higher the percentage) while the split between the latter 3 is really dependent of the novelty of the problem being solved, the required performance level and the complexity of deployment. The computer vision project range is from 3 months to multi-year collaborations.

Do you guarantee the success of the project?

During the project evaluation, we provide a feasibility assessment and, for problems in which we have experience, we can provide a more precise prediction at the level of the computer vision metrics and discuss the forecasted minimum level of performance.

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konstantin sadekov mindtitan