3DAI™ City

Urbanisation has been accelerating. Demands on city resources are growing out of control as vehicles, people and countless construction works have to coexist in the ever-expanding city area. There is a need to do more with less and the key to that is data.

3DAI™ Engine

Univrses is developing a suite of products to solve complex real-world problems in Computer Vision. They have been developed by our team of expert scientists and engineers. We call this the 3DAI™ Engine.


Follow the latest news from Univrses and the latest research in computer vision and machine learning

The Edge AnnotationZ Challenge is in full swing, and we are happy to contribute to the team of judges.

Throughout the contest, Univrses’ Computer Vision Scientists Ernesto Nunes and Johan Ekekrantz, along with other judges, will determine the winner of 50 000 SEK, and the chance for further collaboration with @zenseact

Good luck to every team participating!

Edge AnnotationZ Challenge is organized by @aisweden , together with Univrses, Zenseact, @risesweden, @lunduniversity School of Economics and Management and @chalmers.university Industriteknik, in collaboration with @cgit_ab and @mobilityxlab

#roadsafety #univrses #zenseact #aisweden #lunduniversity #chalmersuniversity mobilityxlab #3daicity #machinelearning #computervision #smartcity #smartcities

As we get going in 2022, we wanted to take a brief moment to look back at 2021. The progress is pleasing - and it was a fun year. But we have only just begun. Stay tuned for some exciting updates in the coming weeks and months.

Thanks for following our journey!

#univrses #3daicity #computervision #deeplearning #machinelearning #smartcity #smartcities

Our infrastructure team just got a massive boost! We are happy to welcome Ozkan Sari to Univrses. Ozkan has a Master's degree in Computer Engineering and over 1,5 decades of experience from developing web-based applications. For example, before joining Univrses, he built a payment management system for Mastercard.

In his new role, Ozkan will focus on developing data-processing applications and APIs for the 3DAI™ City platform.

Welcome, Ozkan!

2021 was the year where Univrses took a leap out into the big wide world. The 3DAI™ City rollout has continued with our technologies now deployed in a number of new countries and cities. We have also had the privilege to welcome several new employees to our team in Stockholm. What we have worked hard for over the last couple of years is now happening, and it’s happening fast.

This is an exciting time for us and we highly value your interest in our journey. 2022 will introduce the next chapter in the Univrses story. We look forward to writing it, and we are grateful that you are here with us. Thank you!

Thank you also to all of our amazing customers and partners (new and old) for your invaluable trust and support!

Happy New Year!

Another Christmas has come and another unusual year will soon come to an end. We are grateful that you choose to follow our journey, and very eager to tell you more about the exciting times that lie ahead.

Stay tuned, stay safe and have a wonderful Christmas – whoever you are, wherever you are.


Attention, dear friends of the AI community! We are happy to inform you that the Edge AnnotationZ Challenge has launched, and that you now have the chance to contribute in the exciting field of autonomous driving 🦾🚗✨

Together with @aisweden, @zenseact, @lunduniversity, Chalmers Industriteknik and @risesweden, we are introducing an exciting competition where the participants get to work on one of the key challenges in the development of self-driving vehicles.

Read more and sign up today! >> https://www.ai.se/en/data-factory/challenges/edge-annotationz. The application is open until January 10.

#univrses #zenseact #chalmersuniversity #lunduniversity #chalmersindustriteknik #aisweden #3daicity #smartcity #smartcities

There are 2200 speed cameras contributing to safety in Sweden’s vast road network. We are proud to announce that we are now – together with @trafikverket - carrying out a deployment of our technology with the aim of reducing maintenance costs and increasing road safety.

Univrses’ AI software 3DAI™ City is being used for automatic detection, inventory and monitoring of traffic signs relating to speed cameras. Ensuring the correct signage is in place is crucial for motorists, connected cars and (one day!) autonomous vehicles to be aware of road regulations. Using 3DAI™ City, Trafikverket was able to monitor all signs with ~99% detection rate.

These are groundbreaking results – for our technologies, for Trafikverket and for Swedish road safety in general.

Thanks to our friends at Trafikverket, and special thanks to Tommy Bylund and Rune Hammarberg for making this project possible!

#trafikverket #univrses #3daicity #computervision #machinelearning #deeplearning #sweden #roadsafety #speedcamera

Turin has chosen the Univrses way! 🎉 We are very happy to announce that our 3DAI™ City platform is now being used in a new initiative taking place in the Northern-Italian city.

Univrses is working with The City of Torino (@cittaditorino), The Turin local police authority and the brilliant test bed Torino City Lab. The goal is to make urban management more efficient by using our AI software to gather real-time data. Having been deployed in several police vehicles that are operating on the streets of Turin, 3DAI™ City now gathers a constant stream of relevant urban and roadside data that is being sent directly to The City of Torino.

Stay tuned for more information!

#univrses #turin #torino #torinocitylab #3daicity #computervision #deeplearning #machinelearning #smartcity #smartcities

december 4, 2019


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