Meet PAM
NETxTEN is now PAM
PAM (Pixel Analysis Mode) detects the presence of gas in camera field of view and supports alarming. The patented technology is a novel signal-processing algorithm. Compared to incumbent OGI detection software like HSM (high sensitivity mode) and GEM (gas enhanced mode), PAM increases detectability while reducing false positives.
PAM comes in two packaging: App and Core. PAM App is for end-users. PAM Core is for OEMs, camera manufacturers, and system integrators. PAM is lightweight, it does not need GPU or accelerated processing platform, nor it requires internet connectivity or data store.
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Customer or OEM partner TRIAL
Breakthrough
Technology
Instantly identifies leaks through a patented cutting-edge physics-based algorithm
Camera
Compatibility
Works with Teledyne FLIR and Sierra Olympia OGI cameras raw video output
Intuitive
Interface
Easy to use. Anyone can use it.
PAM helps to find leaks when one or more of the following conditions are in play:
Less experienced camera operator
Camera dwell time on components is short
Motion in the FOV such as clouds, vehicles, flags, tags, etc.
FOV has lots of edges of metal objects
Handheld and drone mounted camera motion
Viewing angles are not optimal
Leak size vs. distance
Tested rigorously
11000
+
test runs using O&G industry inspection videos
53
%
of known leaks were autodetected
31
%
more leaks were found that evaded detection at previous inspections
For Product Brochure, please visit the Aquanta Vision Linkedln page.
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PAM is available for...
| Feature | PAM App | PAM Core |
|---|---|---|
| Intended User | End-users | OEMs, camera manufacturers, system integrators |
| Form Factor | Installable application | C++ SDK |
| Detection | Real-time + Post-processing | Real-time |
| Algorithm | Patented physics-based (USPTO US-12469250-B2) | Patented physics-based (USPTO US-12469250-B2) |
| Alerting Support | Yes | Yes |
| UI | Yes — playlist, ROI tool, visualization controls | No |
| Camera SDK Integration | Built-in (FLIR, Sierra Olympia) | Via integrator |
| On-Camera / Embedded Deployment | No | Yes (ARM) |
| Post-Processing | Yes | No |
| FFI / Language Bindings | N/A | C#, Dart, and any C FFI language |
| Platforms | Windows, macOS, Linux, Android, iOS | Windows, macOS, Linux, Android, iOS, Embedded ARM |
| Size | 150 - 300 MB depending on platform (Inc. sample videos) | 20 - 130 MB depending on platform |