HySpex Baldur Series by NEO – High Performance Hyperspectral Imagers for Industrial Applications
The HySpex Baldur hyperspectral camera family from NEO are rugged, high performance push-broom spectral imagers optimised for industrial use in the VNIR from 400 to 1000 nm (V-1024 N), in the SWIR from 950 to 1730 nm (S-640i N) and in the SWIR from 960 to 2500 nm (S-384 N). Named after the Norse God, Baldur has been designed by NEO for those who require high performance at a more accessible price point.
The Baldur camera family utilises the same robust optical system as the HySpex Classic design, but with some optimisation for process spectroscopy. To denote that the Baldur cameras have a wider point spread function (PSF) per pixel and band compared to the Classic cameras, NEO appends the suffix ‘N’ (standing for “Nyquist”, named after the electronics engineer Harry Nyquist) to the model name. Each Baldur imager achieves a resolution of 2 spectral bands while capturing 4 times as much light as the classic systems. Furthermore, the spatial resolution is better than 1.7 pixels for all Baldur models, yielding very sharp images, albeit not to the extremes of the HySpex Classic and Mjolnir cameras.
HySpex Baldur Models | |||
V-1024 N |
S-640i N |
S-384 N |
|
Spectral Range | 400 – 1000 nm,
configurable |
950 – 1730 nm,
fixed |
960 – 2500 nm,
configurable |
Spatial Pixels | 1024 | 640 | 384 |
# of Bands | up to 88 | 232 | up to 231 |
FOV | 16° / 40° | 16° / 40° | 16° / 40° |
Spectral Sampling | 5.5 nm | 3.36 nm | 5.45 nm |
Peak SNR | >286 | HG/LG: 150/800 | >1100 |
Digitization | 12 bit | 12 bit | 16 bit |
Max. Frame Rate | up to 1000 fps | 500 fps | up to 650 fps |
Sensor Weight | |||
Sensor Head pwr. cons. | 6 W | 30 W | 30 W |
Applications
The Baldur family of hyperspectral cameras has been designed to operate in industrial environments in which high image quality and spectral fidelity are required. The cameras work in the 400 to 2500 nm spectral range and can be easily integrated into different sorting processes for real time classification, identification and quantification of a wide variety of materials.