Kapsch TrafficCom is expanding its AI annotation to Chile.
Annotation is the addition of information and labels to data and is one of the fundamental requirements for modern AI – because the intelligent systems must be trained before they can work independently.
The team that was set up in Chile is an extension of the project team in Vienna, Austria, where people with autism work to train the image recognition AI of Kapsch TrafficCom. It is part of the automatic number plate recognition and vehicle classification software that is used for various tolling and traffic management applications.
Annotation requires a high level of detail orientation and endurance, which are skills that are often found in people with autism. The project has been running successfully since 2019 and is now expanding to South America.
“I am very proud that we are bringing our AI initiative to Latin America – in a way that is not only inclusive, but gives us a unique competitive advantage. There is no other company in our region that undertakes a similar initiative,” says Samuel Kapsch, region head Latin America at Kapsch TrafficCom.
The team in Chile is working as part of the global annotation team, training and developing the AI-based image recognition software of Kapsch TrafficCom.
“People with autism are severely disadvantaged in the labor market, but they have exactly the skills that we need for this type of work, making this a win-win for everybody involved,” adds Kapsch.
Annotation is a growing market, as AI is becoming more and more important across multiple sectors. Kapsch TrafficCom is involved in the development of AI since many years and is successfully deploying its image recognition AI for many clients across the globe.
