The FireflEYE 185 is the workhorse of Cubert’s hyperspectral snapshot cameras. With a weight of less than 500g, it is designed for easy implementation onboard a UAV or for an easy-to-handle and flexible measurement experience in the field or laboratory.
The 185 is available in four versions: two lightweighted versions suited for UAV-use, one with industrial housing and one with waterproof housing for underwater use.
In lab use, the FireflEYE can be equipped with Close-Up Lenses, allowing a macroscopic scale view with a field size from only a few mm to cm.
Attaching a Relay Lens to the FireflEYE provides full interchangeability for C-mount lenses. Mount the camera on your microscope or endoscope without the need of an additional calibration.
Wavelength range: VNIR 450-950nm
(± 10nm), 125 bands
Spectral resolution: 8nm@532nm, sampling 4nm
Spatial Resolution: 1000×1000 px panchromatic / 50×50 px spectral (2500 spectra per cube)
Light-Weight Design: 490g
Standard, Industrial and Waterproof Housing available
perClass Mira compatible
Technology: | Hyperpixel Array |
Spectral Channels: | 125 |
Spectral throughput [spectra/capture]: | 2500 |
Wavelength range [nm]: | 450-950 |
Cube resolution [pixel]: | 50 x 50 x 125 |
Cube rate [fps]: | Max. 15 |
Digitization [Bit]: | 12 |
Camera interface: | Gig E x2 |
Camera connections: | Power, Trigger In |
Camera storage: | ext. |
Operating temperature [°С]: | 0 – +40 |
Weight without lens [g]: | 490, 3450 (industrial housing) |
Power [V, W]: | 12V / 8W |
Size Standard [mm]: | 200x67x60 |
Size Industrial [mm]: | 365×103 |
Cubert systems fully supports perClass Mira, a user interface for interpretation of hyperspectral images. It allows users to define classification and regression solutions and deploy them in the live applications of Cubert cameras. Mira provides automatic machine learning without pro-gramming and enables the users to interactively improve their solutions.
perClass Mira, fully compatible to Cubert Utils camera control software, brings state-of-the-art machine learning research to industrial practitioners and researchers.
A conventional color image has three colors per pixel (red, green, and blue), but a hyperspectral image can have hundreds of colors across the electromagnetic spectrum.