Camera Technology: The most suitable technological solution depends heavily on the type of problem and the boundary conditions of the challenge. Typically, decisions should made concerning the most interesting frequency range to capture information and the level of detail within this region: RGB, UV, infrared (SWIR, MWIR, LWIR), hyperspectral (Vis-NIR, etc.). Additionally, deciding between a full-field or line-scan camera sensor is crucial.

Thanks to our research activities, we have a unique, extensive portfolio of cameras and hardware that can help you decide on the most suitable technology.

Measurement Strategy: A well-thought-out measurement strategy must be devised alongside the camera technology. For example, in thermography, the type of excitation needs to be specified. In other cases, the spatial positioning of the camera or the consideration between transmission or reflection measurements may be significant.

Lens: Lenses are always chosen based on the type of camera technology and the ultimate necessary amplification or broadening of the camera's field of view (micro vs. macro level).

Illumination: Optimizing ambient lighting conditions (frequency, intensity) can amplify desired effects or suppress background noise. Thus, illumination is a critical quality factor.

Post-Processing Techniques: In an initial study phase, it is often already desirable to consider post-processing, such as classical segmentation methods (thresholding) vs. artificial tools, as these influence the required hardware and, consequently, the cost of the ultimate solution.

Cost: The cost of a final solution is often decisive for implementation. We strive to collaboratively weigh quality, reliability, and cost with the client.