As a leading developer and provider of video analytics and multispectral imaging solutions, INO now offers a multispectral fog imagery database with annotations and a simulator. The database was acquired in the CEREMA fog chamber, using multiple cameras and multiple target types in different fog conditions.
These tools can be used to help design outdoor camera systems as a way to predict their performances in adverse weather conditions. The database makes it possible to test performance in set conditions, and the data can be extrapolated through the simulator to gather more specific information, depending on your sensor(s) specifications or the working distance you need to test.
It is a great starting point for design assessment before conducting real tests in fog conditions.
Ongoing collaboration with CEREMA allows database updates and facilitates eventual fog experiments. The database features a MATLAB® GUI allowing you to quickly select, visualize, and extract data based on the following selection possibilities:
The fog database covers a wide spectral range, thanks to a setup that provides outstanding synergy between the various multispectral passive sensors operating from visible to infrared (SWIR, MWIR & LWIR). The data set is supplemented by additional measurements of fog parameters (visibility and size distribution), temperature, humidity, and human visual tests. The simulator’s capabilities could be used to validate various fog models or predict sensor performances in adverse conditions.
The platform can be used for various applications:
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CEREMA fog chamber (credit : CEREMA)