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User Cases


What Our Clients Say

Our solutions have helped 1200+ clients worldwide boost efficiency, reduce risk and make more informed decisions

Dr. Min Li, Engineer of Everbright Environment and member of the carbon monitoring project

"With precise and high spatial resolution data, Sniffer4D 1ppm NDIR CO2 Sensing System and 1 ppm TDLAS Methane Sensing Module have exceptional performance in monitoring and locating the source of greenhouse gases emission in landfills and sewage plants. With ultra compact and lightweight structural design, the user-friendly Sniffer4D system can be applied to regular inspection in the landfill area for leakage location, allowing easy operation and management."

Jianhuai Ye, Associate Professor at SusTech School of Environment

"The UAV-based Sniffer4D monitoring system is an excellent product that can achieve fast and accurate air pollutant measurement in real-time. We have been using Sniffer4D for the observations of atmospheric anthropogenic and biogenic emissions. Sniffer4D not only provides relatively reliable measurements with high sensitivity, but also offers a greater data spatial resolution when compared to traditional methods. Its high portability and cost-effectiveness open up new possibilities for atmospheric chemistry and physics research such as studies on pollution vertical distribution and atmospheric stratification."

Jie Yin, Assistant Captain of Maritime Safety Administration (MSA)

"This drone-based sniffing solution allows us to quickly identify the suspected ships that use unqualified fuel. It helps reduce the risk of personnel contact on-boarding during the epidemic, extend inspection coverage, and expand inspection targets from arriving ships to transiting ships for emission control. It also brings effective warning and deterrent on the ships using unqualified fuel."

Lee Newman,

Station Officer at London Fire Brigade

"Sniffer4D is really good and performed well during the trial... the gas detection system was able to provide more details about the smoke cloud than a visual camera could telling us what type of hazardous substances were in the plume, their concentration, and where they were heading... this would not only help us tackle the incident, but help us better protect the nearby community, taking preventative action such as telling them to shut windows or redirect traffic especially if there were high levels of really dangerous substances. And the system obtains the information you need while keeping crews away from the incident."

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