Technology
The NETxTEN app is powered by a patented breakthrough that separates gas signals from noise in OGI video. It is especially effective at eliminating noise caused by motion, whether from moving objects in the camera’s field of view or from camera movement itself, including drone-mounted or handheld operation. This technology is a novel signal-processing technique in computer vision.
Under the hood
The NETxTEN app is a patented breakthrough in finding gas signal in OGI video pixels.
NETxTEN, HSM and GEM
Our difference in underlying approach from the incumbent detection software options.
| Product | Technique | Approach |
|---|---|---|
|
NETxTEN |
Signal processing |
Uses temperature values in pixels to find movement |
|
HSM |
Video processing |
Uses image-subtraction to amplify thermal sensitivity |
|
GEM |
Video processing |
Uses weighted-differencing to contrast between frames |
HSM (High Sensitivity Mode) comes embedded in Teledyne Flir cameras.
GEM (Gas Enhanced Mode) comes embedded in Sierra Olympia cameras.
Specifications
| Video Input Requirements |
|---|
|
OGI camera (raw) video output (radiometric data) |
|
Compatible with Teledyne FLIR and Sierra Olympia |
|
Supports cooled (MWIR) and uncooled (LWIR) cameras |
|
Works with video streaming from camera or from archives |
|
Agnostic to camera mount (handheld, drone, robot or fix mounted) |
| Visualization Outputs |
|---|
|
Displays original raw video |
|
Overlays and highlights gas detection |
|
Provides “plume percentage in FOV” analytics |
| API Output |
|---|
|
2D gas signal array for frame |
| Supported |
|---|
|
Operating Systems: Windows, macOS, iOS, Android, Linux |
|
End-user devices: Laptops, tablets, and phones |
|
OEM CPU Architectures: x64 and ARM |
| Application Size |
|---|
|
60MB end-user app version |
|
30MB OEM app version |
Please visit the Aquanta Vision Linkedln page and use the "Message" button to request our product brochure.