How do you distinguish pollen from other aerosol particles?
SwisensPoleno’s artificial intelligence uses a pre-filter to separate different particle categories. In this short blog article, we explain what the
Real-time pollen monitoring
Stable long-term measurement
Reliably measure and identify local pollen concentrations in real time. High availability thanks to robust design and high-quality technology.
Unsurpassed quality
Digital holography revolutionizes automated pollen monitoring. Proven key technology continues on its path.
Core element of the network solution
Designed for network use with low maintenance operation. Meets the requirements for autonomous monitoring of pollen concentrations.
Compact lightweight
Suitable for roof installation with low payload. Can be integrated into existing measuring stations due to compact design.
SwisensPoleno Mars is the latest generation of real-time pollen monitors on the market. Thanks to its technology and network compatibility, SwisensPoleno Mars enables fully autonomous and stable long-term measurement of local pollen concentrations. SwisensPoleno Mars combines the measurement methods of digital holography with artificial intelligence and transparent data analysis to a reliable measurement system for automatic measurement and identification of pollen.
SwisensPoleno Mars and its measurement method:
The most important specifications at a glance:
Further benefits of SwisensPoleno Mars
Developed as future standard in real-time pollen monitoring
SwisensPoleno’s artificial intelligence uses a pre-filter to separate different particle categories. In this short blog article, we explain what the
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The latest technologies allow the measurement and monitoring of aerosol particles in real time. A measuring system continuously aspirates air and measures
To address this question, in this article we look at our systems for real-time monitoring of pollen. We show which pollen types SwisensPoleno can
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