Mileva 33-320 ON-BOARD is SENSIA’s latest model of Optical Gas Imaging (OGI) for unmanned aircraft surveys. This thermal camera based on a cooled T2SL detector, is able to find the fugitive emissions of hydrocarbon gases (HxCx) down to 0.05 g/h of CH4.
The system integrates an on-board computer with Redlook Software which runs the gas imaging processing algorithms for gas detection.
SENSIA’s Optical Gas Imaging (OGI) cameras can detect fugitive emissions of industrial gases using the high-sensitivity gas detection functionality. This feature, based on advanced image processing techniques, allows to show these invisible gases as clouds of smoke highlighted against the background scenario.
RedLook analytics is delivered for post-processing of the radiometric or compressed video acquired during the measurement campaign.
RedLook is the software application that runs in the control computer. It is an application developed for Smart Optical Gas Imaging processing and data management for SENSIA instruments oriented to LDAR campaigns. RedLook provides advanced functionalities devoted to enhancing the detection of fugitive emissions such as different gas processing algorithms and automatic image contrast control, among a wide range of features.
This computer will oversee the image processing computing workload of the raw data provided by the OGI and will provide the thermal image streaming via RTSP protocol to the control computer. Additionally, it is devoted to power the detector and electronics of the OGI and to provide the back-up storage. This computer will include a software for video acquisition/processing and OGI management that will run the gas detection algorithms for an increased gas sensing performance. This software will also perform recordings of the OGI camera according to ground computer commands.
RedLook will show the video streaming with the running algorithms and the metadata of the OGI and will communicate it with third-party systems using RTSP or ONVIF protocols.
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