Posted in | Temperature Sensors

Infrared Camera for Industrial & Academic Research

The FLIR SC7000 Series is specifically designed for academic and industrial research applications that require a flexible thermal imaging camera with high sensitivity, accuracy, spatial resolution, and speed at an affordable cost.

Designed to address any application in single and multispectral analysis, FLIR SC7000 Series cameras offer researchers a choice between mid-infrared Indium Antimonide (InSb) as well as mid-infrared and longwave infrared Mercury Cadmium Telluride (MCT) detectors. In addition the FLIR SC7000 series comes standard with a removable, motorized 4 position filter wheel enabling high performance imaging of events in a select part of the electromagnetic spectrum.

The SC7000 series can produce high quality infrared imagery in 640 x 512 or 325 x 256 pixel formats with high sensitivity and noise levels as low as 20 mK. Windowing allows a subset of the total acquired image to be selected with user adjustable window size at frame rate speeds of up to 62,000 Hz. Camera integration time on the SC7000 Series is adjustable in nanosecond increments. This smart external triggering feature allows synchronization of the image capture to the most fleeting events.

Benefiting from FLIR's proprietary Hypercal™ technology, SC7000 series cameras are able to ensure the most accurate temperature measurement with the highest sensitivity. Simply set the desired lower and upper temperature limits and the camera will automatically adjust to the appropriate integration (exposure) time.

Leveraging FLIR unique Superframing technique enables SC7000 Series camera users to sequentially acquire thermal data from up to four user-defined temperature ranges, and then merges those streams into a single real-time video that spans all four temperature ranges, effectively extending dynamic range from 14-bit to 16-bit.

CNUC is a proprietary FLIR calibration process that provides unmatched high quality imagery and measurement stability on SC7000 Series thermal imaging cameras. CNUC allows flexible integration time adjustments without the need to perform non-uniformity corrections. CNUC calibration also produces accurate measurement stability regardless of camera exposure to environment variations.

The FLIR SC7000 Series thermal imaging camera works seamlessly together with FLIR ResearchIR Max software enabling intuitive viewing, recording and advanced processing of the thermal data provided by the camera.

For further information on the FLIR SC7000 Series visit www.flir.eu/science/display/?id=50093  or contact FLIR Systems at [email protected] / +32-3665-5100.

FLIR Systems, Inc. is a world leader in the design, manufacture, and marketing of sensor systems that enhance perception and awareness. FLIR’s advanced thermal imaging and threat detection systems are used for a wide variety of imaging, thermography, and security applications, including airborne and ground-based surveillance, condition monitoring, research and development, manufacturing process control, search and rescue, drug interdiction, navigation, transportation safety, border and maritime patrol, environmental monitoring, and chemical, biological, radiological, nuclear, and explosives (CBRNE) detection. For more information, go to FLIR’s web site at www.FLIR.com

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    FLIR Systems. (2019, February 24). Infrared Camera for Industrial & Academic Research. AZoSensors. Retrieved on July 16, 2019 from https://www.azosensors.com/news.aspx?newsID=11188.

  • MLA

    FLIR Systems. "Infrared Camera for Industrial & Academic Research". AZoSensors. 16 July 2019. <https://www.azosensors.com/news.aspx?newsID=11188>.

  • Chicago

    FLIR Systems. "Infrared Camera for Industrial & Academic Research". AZoSensors. https://www.azosensors.com/news.aspx?newsID=11188. (accessed July 16, 2019).

  • Harvard

    FLIR Systems. 2019. Infrared Camera for Industrial & Academic Research. AZoSensors, viewed 16 July 2019, https://www.azosensors.com/news.aspx?newsID=11188.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Submit