Thermal imaging camera core in radiometric version

Flir introduces radiometric boson thermal camera cores designed to capture temperature data from each pixel and provide absolute temperature measurements for quantitative analysis.

According to the manufacturer, the Boson camera cores achieve a temperature measurement accuracy of ±5 °C and ±5 %, respectively. Their potential applications include firefighting, surveillance, drones, industrial inspection and monitoring of immobile objects. According to the manufacturer, they mark the upper end of its range of uncooled high-performance thermal imaging camera sensors. The products are available with resolutions of 640 x 512 or 320 x 256 pixels and in numerous lens configurations.

Evaluate measurement reliability

The software function ‘Measurement Point Accuracy’ enables an evaluation of the accuracy of a particular temperature measurement within an image or scene. This function is available in the form of telemetry data, which can be accessed via the Boson SDK (Software Development Kit) or via the graphical user interface. Via five confidence levels, it offers clues for an immediate reliability assessment of the temperature measurement.

In addition, this software feature opens up the possibility for the user to take into account dynamic ambient temperatures and configure the measurements prior to operation – including setting the emissivity and temperature measurement range. This is critical for outdoor applications and measurement on fast-moving unmanned aerial drones and automated ground vehicles. The software also provides inspection and evaluation functions such as point measurements and measurement ranges for pinpoint temperature measurement within a scene on which the camera is focused, as well as atmospheric correction functions during post-processing and analysis.

All Boson cores feature the Flir infrared video processing architecture, noise reduction filters and a function to adjust the displayed temperature range (level and span, local range settings for contrast).

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