Automatic sampling
Safe and reliable
technologies
Optical measurement
Precise results
Image analysis and archiving
Images of bioaerosols such as pollen, bacteria and spores.
Addition: Artificial intelligence (AI)
An algorithm enables the AI classifier to evaluate millions of features.
Areas of application:
- Precise results in real time
- High-resolution microscopic images
- Open software interfaces
- No external calibration process with
monospecific pollen grains required - On-the-fly training possible
- Generic pollen reference database
POMO® – BAA500e
The BAA500e is the latest stage in the development of the POMO series and offers the right solution for networks and local facilities at an attractive price level. With its advanced technology and compact external design, the BAA500e is capable of reliable and long-term measurements of local bioaerosol concentrations at any location.
The BAA500e works with the proven stability of the BAA500, is more compact and is therefore also suitable for use on roofs with limited roof loads. As a result of various technical improvements, the new BAA500e is a reliable technology in an energy-efficient and intelligent package.
POMO® – BAA502
The BAA502 is the improved version of the BAA500, which is more powerful and energy-efficient and can also withstand extreme climatic conditions.
Higher magazine capacities significantly reduce maintenance costs and make the BAA502 an all-round measuring device for various applications.
Technical data
PomoAI
Image analysis based on deep learning algorithms (AI) is the new approach to bioaerosol detection and classification. Our new open and flexible software interface makes it possible to either use our PomoAI detection software or adapt it to customer-specific AI algorithms.
This not only leads to a significant improvement in the detection rate, but also offers the possibility of adding further classifiers for the detection of bioaerosols. In addition, local pollen types can be classified and easily added to the reference database.
| Technical data | POMO® – BAA500e | POMO® – BAA502 |
| Dimensions (W x D x H) |
750 mm x 650 mm x 1.130 mm | 900 mm x 800 mm x 1.800 mm |
| Weight | 140 kg | 260 kg |
| Sample carrier | Plastic | Glass/plastic |
| Extended magazine | optional | Yes |
| Measuring interval | 1 – 24 h | 1 – 24 h |
| Volume flow | 600 l/min | 600 – 1.200 l/min, adjustable on customer request |
| Size of the suction pipe | 0,3 m | up to 1 m |
| Analysis algorithm | AI (deep learning) | classic / AI (deep learning) |
POMO®– Platform
Pollen varieties
Individual pollen varieties hardly differ in their chemical composition. A promising solution for reliable and automated differentiation is to focus on morphological characteristics. For this purpose, the system needs to be trained on the different pollen types. To date, our generic pollen reference database contains more than 500,000 images of individual pollen grains.
Europe’s largest pollen database
“Allergy and climate relevant measurement data across Europe in real time”
Dr. Jörg Haus, Product Manager Instruments
With the help of our pollen monitor, it is possible to realize an automatic pollen count. Such an electronic pollen information system measures the pollen count at various locations and can then be used for a pollen count forecast based on the data collected there.
>20
stations
14
years
Helmut Hund GmbH presents the world’s first fully automatic pollen monitor.
Pollen allergy has now become a widespread disease: Around 30% of all German citizens suffer from acute symptoms every year during flowering, which can range from allergic rhinitis, or “hay fever”, to life-threatening anaphylactic shock. Allergy sufferers are extremely dependent on daily information on the pollen count (pollen monitoring) to plan their daily routine, for example to adjust their daily dose of medication or plan outdoor activities.
