Sniffer4D Nano2 TDLAS Methane Detection

The Soarability Sniffer4D Nano2 multi-path TDLAS hyper-local methane detection and mapping system seamlessly integrates with the DJI Matrice 3D/3TD drones for the DJI Dock 2. enabling users to operate in-demand automated and remote methane detection.

  • Methane Sensor This sensor features a high-resolution sensor with a 1 ppm detection resolution using multi-path TDLAf technology. It produces powerful spatiotemporal data analysis and visualisation and supports multi-end operation and data viewing.

  • Oil and Gas Applications Its small size (200g) and methane detection capabilities make it ideal for inspections and monitoring in oil and gas industries, landfills, and Hazardous-Mat scenarios.

  • DJI Dock 2 Compatibility Integrates seamlessly with DJI Dock 2 and FlightHub2 for automated and remote detection capabilities.

Sniffer4D Nano2 TDLAS

Cross-Platform Compatibility

  • Sniffer4D Ecosystem: This sensor supports a multi-software ecosystem, ensuring streamlined and efficient data processing and management on Soarability Spatiotemporal Insights, DJI FlightHub 2, other third-party platforms, and private deployment is supported.

  • DJI FlightHub 2: Sniffer4D Nano2 offers seamless integration with DJI FlightHub 2, enabling Sniffer4D real-time reading display and device control through a PSDK connection.

  • Soarability Spatiotemporal Insights: The spatiotemporal big data platform supports importing historical data, enabling smart spatiotemporal data analysis and visualisation. Obtain insights from massive amounts of data, enhancing efficiency for better decision-making.

  • Sniffer4D Mapper: Sniffer4D Mapper visualises and analyses data from Sniffer4D in real-time and provides intuitive information (2D/3D pollution distribution, PDF mission reports) for decision-makers to improve work efficiency and reduce costs.

Sniffer4D on drone in flight.

Sniffer4D Nano2 TDLAS

Data for Actionable Insights

  • Soarability's Software Ecosystem: Obtain real-time and historical data for actionable insights.

  • Concentration Distribution Mapping: Visualises data using 2D grid, 2D isoline, and 3D point cloud maps.

  • Real-Time Monitoring: Provides a real-time concentration map for identifying hotspots and assessing their impact.

  • Historical Data Analysis: Allows analysis of daily, weekly, monthly, and annual data for user-defined locations of interest.

  • Data Applications: Use the data you collect to evaluate locations of interest, analyse daily/weekly/monthly/annual data, study pollutant trends, and much more.

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