Smart City Expo World Congress 2019

Barcelona, Spain
Fira Barcelona Gran Via
Barcelona, Spain
Weather & Environment
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Cities worldwide are seeking solutions to make their cities greener, healthier and more prosperous places to live and to mitigate climate change. To succeed, smart cities need access to comprehensive air quality data that can enable smart, timely decision making.

Visualize and manage road network data with RoadAI. Let technology provide a shortcut to assess your road network by automatically identifying assets such as road signs, road cracks and potholes.

Welcome to the Smart City Expo World Congress, meet our Air Quality Solution and RoadAI experts at the Nordics stand.

41.35457, 2.1280828

Vaisala sensor technology - the resolution for clean air

Shanghai Event: CleanTech and Urbanization

Download Air Quality brochure

Vaisala combines data from high performing air quality sensor networks with important weather parameters.
That allows us to forecast the air pollution. 

Further Reading on Air Quality

Smarter and Cleaner Cities

Vaisala’s Technology and Air Quality Know-How Will Help Cities Become Smarter and Cleaner

Vaisala is a project partner in the CITYZER project. The project develops new digital services and products to support decision-making processes related to weather and air quality in cities, answering to the increasing challenges that poor air quality poses globally. The results of the project are utilized in the Helsinki and Nanjing Air Quality Testbeds.

Vaisala at the United Nations Environment Assembly in Kenya

Vaisala at the United Nations Environment Assembly in Kenya

The fourth session of the UN Environment Assembly (UNEA) was held at Nairobi, Kenya March 11-15. Attended by heads of states and environmental ministers, and shadowed by the aftermath of the tragic Ethiopian Airlines crash, the meeting brought together thousands of delegates and participants to discuss under the theme “Innovative solutions for environmental challenges and sustainable consumption and production”.

The seminar at the National Engineering University drew a large crowd.

Air quality sensors and modelling draw audiences in Peru

During a recent trip in Peru earlier this year, Vaisala and the Finnish Meteorological Institute (FMI) joined forces in arranging a number of seminars in the capital city of Lima presenting some latest advances in tools for air quality management. Practical arrangements for the seminars were mastered by Vaisala’s local representative Mor Ltd. Seminars were held at the Environmental Ministry SENAM, Environmental Agency OEFA, Meteorological Agency SENAMHI, City of Lima as well as the National Engineering University.

Minister of Environment, Energy and Housing Kimmo Tiilikainen and Vaisala's Hannamari Jaakkola visiting the Air Quality Testbed project in Nanjing.

Air Quality Network Pilot Progressing in Nanjing

The construction work to build up a new air quality network pilot in the city of Nanjing in the Yangtze River Delta in China is progressing at a good pace. Last year, Vaisala announced a project to build a groundbreaking air quality network pilot in Nanjing .

RoadAI

RoadAI pavement map

Objective, powerful pavement analysis

Our new infographic shows how RoadAI is changing pavement assessment by removing human error, drastically reducing costs, and giving you the best data and analysis you’ve ever had.

Download now and get your road maintenance operation onto smoother pavement.

Download RoadAI brochure

Vaisala RoadAI (Road Artificial Intelligence) is a service for efficient infrastructure management. The service supports maintenance processes, as well as provides better means to monitor and coordinate construction projects.

Further Reading on Computer Vision

RoadAI

How road condition analysis with computer vision is changing cities and transportation departments

Road infrastructure is among the most important public assets we have. Essentially, modern society doesn’t work without them. 

And yet, many cities, counties, and transportation departments struggle with budget and labor limitations that cause their roadways to suffer. 

These challenges affect us all. For example, the American Automotive Association estimates that U.S. drivers spend $3 billion a year fixing pothole damage to their vehicles. Naturally, bad road conditions cause public safety problems as well.

Fortunately, machine learning, computer vision, and other technologies have matured so quickly that serious improvements can be made to road maintenance practices — relieving transportation departments of existing cost and labor burdens, improving maintenance, and maintaining higher safety standards.

 

Vaisala RoadAI Provides Significant Benefits

New Solution for Visual Data Management at Construction Sites

Modern tools can support organizations and the ways of working in performing better. Construction, particularly infrastructure construction, has been considered to be quite a traditional industry. Albeit, if one took a closer look, it would be clear that this is not the case anymore.

Vaisala RoadAI service is developed to support data collection for road inspection. However, RoadAI is now playing a bigger role as a situational awareness tool and documentation bank to track the progress of a project in one of the biggest construction sites in Finland. This is due to the fact the service has been evolving and gaining new features since day one, now enabling the users to use drone footage and 360 panoramas in addition to videos recorded manually and from a vehicle.

Road studs closeup

Keeping an Eye on the Road

The speed at which new technology changes our daily lives has reached breakneck levels. From our homes, to our places of work, to our public spaces, technology is driving major shifts in the way we tackle problems of all types.

Damaged Traffic Sign

Video Analysis with Computer Vision – Ultimate Format for Traffic Sign Inventories

Automation is interesting in almost every repetitive or simple task; traffic sign mapping and inventories are an excellent use case to be automated. Digital maps are getting more and more important in the days of connected vehicles and navigation, and smart phones have become a norm. Combining these ideas, with Vaisala Road AI technology turns mobile video into an ultimate format for vehicle based computer vision in various use cases.

Vaisala’s computer vision team has developed one the most advanced traffic sign mapping systems to support asset management and traffic system safety monitoring. The RoadAI system is for those who need to monitor signs and traffic arrangements with a simple and mobile video recording system.