Our environmental sensors provide you with calibrated air quality, climate, noise and other data in real time.
Breeze Technologies’ environmental sensors provide you with real-time calibrated environmental data, thanks to their seamless integration with our award-winning Adaptive Cloud Calibration technology.
Thanks to their modular design, Breeze’s environmental sensors can be fitted to collect a multitude of parameters, such as
- local climate,
- air quality,
- noise levels and more.
With a multitude of connectivity options, including cellular, LoRa and wifi connectivity as well as options for mains or solar power supply, Breeze’s environmental sensors are a great fit for nearly every environmental monitoring effort.
The data from your deployed sensors is available both through the Environmental Intelligence Cloud, as well as real-time programming interfaces to integrate into your own data flows.
Analyze environmental data with the Environmental Intelligence Cloud
Breeze Technologies’ Environmental Intelligence Cloud combines cutting edge technologies that allow you to effortlessly visualize, aggregate, analyze and act upon environmental data like air quality.
The platform seamlessly works with our own environmental sensors, but external datasets can be integrated as well. Functionality includes:
- Deep monitoring location management with metadata, location history and maintenance management
- Data aggregation based on national and international standards
- Automated comparison to national and international air quality guidelines and regulations
- Automated trend and pattern recognition
- Integration of external datasets such as meteorological data
- Recommendation of the most efficient and effective clean air actions with EnvironmentalAI
Communicate environmental data to your community
How is the air quality in front of your door? Cities usually only maintain few air quality monitoring stations. Measurements are few and far between. The collected data therefore does not have the necessary relevance for most citizens. Our citizen portal for air quality data provides comprehensive and hyperlocal air quality data and is a one-stop shop for interested citizens. The portal is currently being piloted in Hamburg-Rothenburgsort and will soon be available in more districts and cities.
Socially responsible corporates sponsor the sensors feeding data to this portal. They are being installed either on the corporates’ own buildings, or co-located with interested citizens that we call “sensor hosts”. For the citizens, no costs are incurred, besides the sensors’ very low power consumption.
Find out more about the air quality in the places that matter most to you.
Detect wildfires in real-time
Our environmental and data scientists are constantly exploring new use cases for environmental data. We believe that data-driven decision making will be the key to improving the environmental quality of our cities, neighborhoods and even private residencies.
Based on these efforts, we have developed a technology for early wildfire detection. Based on real-time air quality datasets from our (and other) air quality sensors, we are able to detect emerging wildfires within 5 to 15 minutes; early enough for first responders to contain and mitigate the fires. The technology has been developed with support from the US government and proven in both labs and the field.
With this technology, we can even turn existing air quality monitoring networks into early wildfire detection arrays!
Our Team
We are an interdisciplinary team of scientists, analysts, engineers, designers, computer scientists and former consultants with international work experience. We have been supported by multiple EU and German innovation programmes and are working closely with more than a dozen research institutes and universities. Our offices are in Hamburg; our team is fighting for more liveable cities all over the world.
Our distinguished team has been awarded the Hamburg Founders’ Award, a commendation from the German federal president and various other honours and distinctions.
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