We have developed hyperspectral cameras specifically for industrial and production line use. They are small and lightweight, fast, and reliable, and the standard interfaces make it possible to integrate them to existing solutions.
Our products are called push-broom, or line-devices – they collect the full spectral and image information with single image. The final datacube is formed by scanning the target line-by-line. This is why you only need to illuminate that one single line where the data is collected.
Current main competing technologies are tunable filter and variable filter instruments. With tunable filter, one wavelength band is measured from two-dimensional area at a time. With linear variable filter, all wavelength bands are measured simultaneously but each band from different position on the target area.
Compared to push-broom, both tunable filter and variable filter technologies require homogenous and stable illumination for much wider two-dimensional area. They also struggle in getting co-registered spectrum, which leads to difficulties in data processing, unreliable spectral signatures and delayed processing results.
It is reasonable to conclude that only line imaging push-broom HSI is suitable to all industrial on-line applications where moving and changing targets are measured, and spectral co-registration is required.
Specim FX cameras
Specim FX series cameras are small, fast and affordable. We have designed them specifically for industrial machine vision applications, and several versions operating on different wavelengths means that you can find a camera to meet your specific needs. Get reliable results with less light and high framerate.
In our case examples, we used FX10C and FX17 cameras. FX10C operates on visible light area and is optimized for color measurement. It is an ideal option for anyone who is looking to measure and analyze the crust color in bakery products, while FX17 is at its best when collecting data for material identification, meaning chemical composition analysis, or moisture or foreign object detection.