Hyperspectral Camera

Black
Bullet

base model VNIR SENSOR for a whole range of applications such as UAVs, field and lab

Image of HAIP Solutions BlackBullet

Hyperspectral camera

Various Platforms

HAIP Solutions BlackBullet VNIR Sensor is the base model for a whole range of applications such as

UAVs, field and lab measurements on tripods or mounted on scanning rail systems. 

If you need external lighting, BlackBullet is optimized for combined use with separate available broadband LED lighting unit BlackBright.

Compact Setup

BlackBullet is based on a hyperspectral linescanner, but there is no need to move the sensor during image acquisition to get a full hyperspectral data cube. With this feature your use case can benefit from a compact and lightweight measuring setup.

Easy To Use

BlackBullet can take images of RGB and HSI simultaneously through the same light channel with the same spatial dimension. Camera control works via Gigabit Ethernet, which opens up to a wide range of mounting options.

Intelligent Imaging

Additional pre-processing on camera is possible, as the camera has a build in computing unit. If needed, the desired spectral ranges can also be individually selected, to reduce the amount of data. 

Start with HSI Today!

BlackBullet

BlackBullet

Specifications

Smart Hyperspectral Line-Scanner

No external movement needed, Internal CPU for pre-processing

VNIR (500-1000 nm)

250 spectral bands, high signal-to-noise ratio in NIR range

Super lightweight

Under 300g, RGB + HSI simultaneously

Hyperspectral Camera

Sample Data

BlackBullet is based on a VNIR linescanner, but there is no sensor movement needed during image acquisition to get a full HSI data cube. Unsure if spectral imaging solves your application? Get in touch with us and send your sample to HAIP Solutions for a measurement in our lab.

BlackBullet_Geology_Sample
BlackBullet True Color, native resolution, mounted on UAV. The corresponding spectra inside the circles are given on the right.
BlackBullet_Geology_Sample_Spectrum
High spectral quality with low noise. The diagram above shows the standard deviation of all averaged pixels inside each drawn circle.