Environmental
Monitoring
Scientific
Research
Oil & Gas
Inspection
Emergency
Response
Get to know Soarability’s products
Experience in person how to use Sniffer4D and Sniffer4D Mapper to obtain hyper-local air pollution information.
Request for a Demo
We are very glad to provide demos to potential customers in our headquarter in Warsaw, Poland. Fill out the form on the right and our staff will contact you soon.
DESIGNED TO BE MOUNTED ON MOVING PLATFORMS
Sniffer4D + Multirotors
Normally mounted on the top of the multirotor to stay
away from propellers’ downwash
Sniffer4D + Fixed Wings
Placed inside the payload compartment
and use snorkels for air exchange
PRODUCTS
Sniffer4D Mapper™LOCAL vs. HYPER-LOCAL
Local air pollutant infomation
Usually at city or district level with no altitude information and low spatial resolution. This only reveals pollutant distributions for very large areas (e.g. national level).
Hyper-local air pollutant information
High spatial resolution in both horizontal and vertical directions. This reveals variations in air pollutants street by street or even building by building.
Industry leading data quality (long-term data error <±10%) in co-location comparison with scientific grade monitoring station.
High data correlation (R²) 0.81-0.95 in co-location comparison with scientific grade monitoring station.
APPLICATIONS OF HYPER-LOCAL AIR POLLUTANT INFORMATION
Environmental Monitoring
Efficiently and accurately locate suspected pollution sources in industrial areas, construction sites and ports.
Emergency Response
Quickly evaluate the concentrations of pollutants and the spatial extent of contaminants in harzardous accidents.
Pipeline & Tank Inspection
Find suspected leakages in tanks and pipelines by mapping CH4, H2S and VOCs distributions.
Environmental Evaluation
Evaluate the environment more efficiently and reduce cost.
Academic Research
Help research teams easily obtain rich air quality & pollutant information in 3D.
Asset Monitoring
Reveal potential anomalies in chemical plants by periodically monitoring air pollutant distributions
Smart Cities
Make smarter management decisions using hyper-local air quality information. For example force HPEV to EV mode in heavily polluted urban areas.
Precision Marketing
Provide precision marketing to groups exposed to different air quality levels.
Personal Lifestyle
Use hyper-local air quality information to support decision making in daily life such as whether to open the window, skin care, travel plan etc.
