Full-scale solutions with computer vision

We build turnkey solutions leveraging various models and extracting meaningful information from images and videos

20
Projects in 20+ countries
85
85+ Success rate of our projects
80
Projects Successfully completed
computer vision services
20
Projects in 20+ countries
85
85+ Success rate of our projects
80
Projects Successfully completed

Trusted by governments, leading telecoms and banks

titan

Derive meaningful information from visual inputs

Here at Mindtitan, we develop Computer Vision applications focused on deriving valuable 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.

tax fraud

1. Speed up processes

AI can perform human tasks with an incredible speed reducing business costs
accuracy

2. Improve accuracy

Detect production issues or defects in manufacturing
safety example

3. Increase safety

Assess what activities a person is carrying out
Hepta uBird interface
The AI allowed us to process more power line images and increase accuracy
German Bidzilja , Head of product, Hepta Airborne

The AI implementation speeded up the procedure of object detection by 15%. It highlights insulators of the image made by drones and classifies whether it needs maintenance.

The detection became more accurate as the computer vision system allows finding on average 11 more defects per line kilometer.

Read the case study

More than just computer vision solutions

MindTitan provides full-scale production for custom computer vision solutions, including data and software engineering.

 

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

Latest Projects

Latest Projects

Illegal Ad detection

As an agency of the Estonian government, the Consumer Protection and Technical Regulatory Authority employs our models to detect unlawful advertising in regulated categories like alcohol and tobacco.
Illegal ad detection

Hepta Project

Automatic fault detection in powerline insulators via processing of aerial inspection images was developed for Hepta Airborne. The machine learning service was implemented across all stages of the functionality development process, from data augmentation and creation to fault classification.
Fault detection

Founded by a strong technical team

Founded by a strong technical team
kristjan jansons

Kristjan Jansons

Co-founder, CEO

Bio
markus lippus mindtitan

Markus Lippus

Co-founder, Data science lead

Bio
Robert roosalu mindtitan

Robert Roosalu

Co-founder, Data science lead

Bio
team

Expertise you can rely on

We take great pride in our team of more than 20 data scientists, software engineers, and machine learning engineers who come from nine different countries.

Testimonials

Testimonials

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 side as it is connected to the peculiar business problem to be solved. We can help you with that, especially if it is a data source we have worked with before.

Labeling can be on the client side if very specific knowledge is required for labeling or it can be outsourced to a labeling company or us. 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.

Get a free consultation with our experts

  • Evaluate your AI use case;
  • Determine whether computer vision should be used to solve your issue;
  • Find out how to improve the efficiency of data collection and labelling;
  • Learn about time and investment estimates.