Meet PAM

NETxTEN App Screenshot
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 icon

Camera
Compatibility

Works with Teledyne FLIR and Sierra Olympia OGI cameras raw video output
icon user interface

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:

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. Use the "Message" button to send us requesting brochure note.

PAM is available for...

icon end user

End-Users

PAM App

Install on Laptops, Tablets
& Phones
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OEMs

PAM Core

Camera Manufacturers, System
Integrators & Solution Providers
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