Our AI solution provided detailed analytics on a per-piece basis, including video annotations.

We proposed a Proof of Concept (PoC) project to demonstrate the potential of Large Language Models (LLMs) in automating data extraction from contracts.

We designed a computer vision system to detect vertical traffic signs within panoramic images.

We developed a solution that leverages Large Language Models (LLMs) to enable natural language querying of structured databases.

We created a digital platform for utilizing artificial intelligence (AI) in radiology.

We created a robust, sensor-fusion-based positioning system for UAVs operating without GPS.

We were working with one of the leading banking groups in Central Europe. In order to stay at the top of their game they always try to bring innovative solutions to the market.

Cognexa developed a system for generating isotropic images from equivalent anisotropic MRI images.

High precision OCR technology for extraction of information from ID cards and documents.

Pancreatic islets are cell clusters containing beta cells essential in blood sugar regulation. In diabetic patients, the immune system misidentifies beta cells as dangerous and destroys them. Doctors are trying to cure this transplanting the islets.

Tightly cooperating with the Clickins R&D, we built a solution that generates a sufficient image database, by automatic synthesis of vehicle images with damage structures.

Sport performance analysis based on the visual record and AI algorithm of an athlete´s movement, It is possible to determine the effectiveness and correctness of the movement. 

Electricity suppliers work hard to deliver the right amount of power to the grid at the right time to cover consumption of their customers. Every deficit or excess of energy causes additional expenses so accurate consumption forecasts are crucial.

We developed an algorithm to automatically detect and classify calcifications in mammography studies.

AI-powered video processing in lab combined with a platform standardization and the best practices in this field of medicine.

Controlling consumption of end users is an inevitable task for every utility provider. Yet, the technology for “smart” electricity, gas, water or heat consumption metering is still immature. OCR can facilitate the current reading process though.

Aluminium production is a complex process requiring huge amounts of electricity, so the process has to be strictly controlled and optimized to avoid any unnecessary expenses for energy and chemicals. Fortunately, machine learning can assist here.

Choosing the most viable human embryo from a number of fertilized eggs is among the greatest challenges in human infertility treatments. Evaluating viability is a complex process which calls for extensive manual labor and full concentration.

An AI system that helps the process engineers identify anomalies in energy consumption and review energy consumption outliers for specific production lines. That leads not only to a decrease of the energy consumption, but also to prevention of machine failure incidents.

Car insurance premium usually depends on the miles driven. That doesn’t always work for the best interest of the car owner, so the reported odometer readings might be unreliable. This problem can be easily solved with machine vision technology.

Automated software system recording and evaluating the correct skating technique of hockey players

Private sellers and buyers, real estate professionals, banks, insurance companies, investment funds and other stakeholders oftentimes depend heavily on the accurate value estimation of their real estate properties.

Providing the needed technology innovation and designing the architecture that will help the company automate its processes and prepare them for large-scale growth.

Regardless of the product, one thing is common for every marketing campaign - the more tailored the campaign is to the profile of the customer, the higher the chance of conversion. Therefore every company tries to get to know their customers better.

Scrap ration decreased thanks to AI prediction if the produced unit is scrap before it is fully finished. Cost reduction, time efficiency and opportunity to investigate which settings and test results lead to scraps in production.

Large companies have already realized the huge potential of data science in their business but sometimes they need help on their digital transformation path. Erste Group identified the need for in house machine learning education and turned to us.

Automated video analysis detecting individuals wearing or not wearing a face mask

AI is one of the key driving technologies in digital transformation. Machine learning pilot project for churn modelling on consumer loans data was an important step that shaped the way how machine learning is implemented in Erste Group.

Machine learning is a powerful tool enabling automotive component manufacturers to reduce scrap in early production stages and optimize the process. Our client decided to boost their quality control implementing cutting-edge technologies with Cognexa.

Machine learning as a powerful tool that enables automotive component manufacturers to reduce scrap and optimize production.

A fully automated machine consisting of mechanical, optical and software components seamlessly integrated into the assembly line. The system replaced the former human inspection of each part, automatically removing the defective parts from the assembly line. DEMO VIDEO https://youtu.be/0OjrfTAZrFA