Aquanta Vision offers the NETxTEN app, a software solution that automates methane leak detection using raw radiometric video from existing OGI cameras such as those from Teledyne FLIR and Sierra Olympia. The app works with video streams from handheld, drone, robot, or fixed-mounted cameras—both cooled and uncooled—eliminating the need for new hardware or capital expenditures while increasing inspection speed and accuracy.
Funding
Funding not disclosed
Founders
Product
Problem
Detecting methane leaks with optical gas imaging (OGI) cameras requires manual review of radiometric video, which is time‑consuming, error‑prone, and often demands specialized hardware or additional capital investment.
Solution
Aquanta Vision’s NETxTEN app automates methane leak detection by processing raw radiometric video from a wide range of OGI cameras—including handheld, drone, robot, and fixed‑mount units—from manufacturers such as Teledyne FLIR and Sierra Olympia. The software can ingest live streams or archived footage, applying a patented physics‑based algorithm to identify leaks in real time or during post‑processing. By delivering alerts, visualization tools, and region‑of‑interest controls within a cross‑platform application, NETxTEN increases both the speed and accuracy of leak identification without requiring new hardware or capital expenditure. The solution is available as a standalone installable app for end‑users and as a C++ SDK (NETxTEN Core) for OEMs and system integrators, supporting deployment on Windows, macOS, Linux, Android, iOS, and embedded ARM devices.
Target Audience
Primary users are energy‑industry operators and field technicians who conduct methane leak surveys with OGI cameras, as well as OEMs, camera manufacturers, and system integrators seeking to embed automated leak detection into their hardware.
Features
- Direct integration with raw radiometric video output from FLIR and Sierra Olympia OGI cameras, supporting handheld, drone, robot, and fixed‑mount configurations
- Real‑time detection and optional post‑processing using a patented physics‑based algorithm (USPTO US‑12469250‑B2)
- Cross‑platform installable application (150‑300 MB) with playlist, ROI tool, visualization controls, and alerting support
- C++ SDK (NETxTEN Core) for OEMs, offering embedded ARM deployment, language bindings (C#, Dart, C FFI) and a lightweight footprint (20‑130 MB)
- Compatibility with Windows, macOS, Linux, Android, iOS, and embedded systems, enabling flexible deployment across field and cloud environments