Kuva Technology

Quantifying Methane Plumes Using Technology

Kuva dots

The Kuva Technology

Fast Imagery

Edge computing detects and visualizes emissions events quickly.

Accurate Detection

Camera technology allows root cause analysis.

Zero False Alarms*

Don't waste your time chasing false positives
* Independently validated results by Methane Emission Technology Evaluation Center (METEC) per Advancing Development of Emissions Detection (ADED) continuous monitoring protocol blind testing over a 5-month period in a variety of duration, flow rate, wind speed and solar irradiation. Refer to https://energy.colostate.edu/metec/aded/
Kuva Technology

Actual sequence of real-time tank emission

Augmented Reality Imaging

We break the measurement problem down into clear data capture needs and purpose-built measurement tools. Its edge computing platform detects and visualizes emission events, then transfers visuals to the cloud in near-real-time. False-alarm mitigation and plume quantification are performed in the cloud. Augmenting the reality of on-site imagery with actionable information about emission dynamics guides operational decision-making.

Accurate Detection

Our detection methods reveal methane presence via non-thermal IR imaging. Our camera technology allows root cause analysis of emissions by exposing actionable detail, allowing mitigation. These emissions are commonly not seen by ground-level point sensors due to the height of the emission, and the natural dispersion of the plume.

Kuva Technology

Actual sequence of real-time tank emission

Day & Night Operation (Coming Soon!)

The Kuva platform is configurable for lowest-cost, daylight-only operation, and day-night data capture via an illuminator-reflector module. The low-power illuminator is integrated within every Kuva camera and activated by software as needed. Reflector assemblies are based on simple, rugged road sign retro-reflectors and require no detailed adjustment or calibration.

Fail-Safe Validation

Kuva Technology

Gas cloud imagery is pre-processed initially in the camera to control for ambient variables on-site. Candidate images are transferred to the cloud and further validated by our processing software to eliminate false-positive alerts. This resilience equips operators to focus scarce resources on known leaks while avoiding costly manual confirmations.

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