Glana’s solutions can be used in a variety of different applications. Below you can see some implementations where the Glana camera and software suit has been of assistance. Do you see the solution to your needs or do you have other problems where the Glana camera could be of use, if so contact us!
The Glana camera has a lot to offer in numerous applications throughout the field of agriculture. From detecting early signs of plant stress to categorizing different types of crops and weeds.
In the EU-project AFarCloud, a drone-mounted Glana camera was used to create a 3D-reconstruction of a field to determine the quality and growth rate of wheat crops.
Hyperspectral Imaging using the Glana camera is, by design, perfectly suited for an conveyor belt solution and can be highly useful in other segments for the processing industry.
Due to the the kept spatial information in the images produced by the Glana camera, it is possible to quickly estimate height and shape of an object. Thus, eliminating the need of an laser scanner.
The Glana camera is optimal when it comes to categorizing and analyzing large swaths of land, such as forests, thanks to its high resolution.
By creating a DEM using the depth capabilities of the Glana camera, a hyperspectral image of a spruce plantation was created. Here a NDVI image makes the spruce plants much easier to identify, count and measure.
The Glana panoramic kit and Glana track kit are highly suitable for capturing a hyperspectral image of an object or an entire crime scene.
Here the Glana camera is used to find bullet casings in foliage and to differentiate old and new blood stains.
Hyperspectral imaging is a great tool to determine the fat percentage of meats, ripeness of fruits and vegetables, or sorting nuts.
The Glana camera was, in a collaboration with Linköping University, used to construct a metric to determine the freshness of an apple.
Our solution could be uses in a number of other application areas:
Please contact us with any questions or comments. We look forward to hearing from you.