Professional thermal imaging system the FLIR C2 (-10...150 ° C)
Offer type: salePublished: 30.08.2016
| Price: | negotiated |
| Company: | Simvolt |
| Seller: |  Dmitrenko Evgenij |
| Phones: |  044 221 93 73 Show phone |
| Address: | Ukraine, Kyiv |
FLIR C2
- the world's first full featured handheld thermal imaging camera,
designed for a wide range of building and
electrical/mechanical applications. It's so compact
fits in your palm. It is possible to keep in pocket
so You're always ready to reveal the hidden heat leaks and places
high temperature, structural defects, blockage of pipelines,
to trouble shoot the climate control, and other issues.
Thin lightweight design of the camera the FLIR C2 allows you to easily place it in any pocket of work clothing, so You will always be able to identify hidden defects building structures, demonstrate them to customers or customers, and to offer effective solutions to problems. Imaging using thermal imaging cameras is one of the most accurate methods for non-destructive quality control repairs.
Besides being able to view the video in real time on the display of the FLIR C2, in the camera's memory may persist for a 4800 individual photos you can perform with the help of special software FLIR, which is included. You can view to analyze the image, change the color scheme for infrared and for the visible image, for the best submission received data.
Thin lightweight design of the camera the FLIR C2 allows you to easily place it in any pocket of work clothing, so You will always be able to identify hidden defects building structures, demonstrate them to customers or customers, and to offer effective solutions to problems. Imaging using thermal imaging cameras is one of the most accurate methods for non-destructive quality control repairs.
Besides being able to view the video in real time on the display of the FLIR C2, in the camera's memory may persist for a 4800 individual photos you can perform with the help of special software FLIR, which is included. You can view to analyze the image, change the color scheme for infrared and for the visible image, for the best submission received data.
