The dual purpose Wisenet TNM-3620TDY from Hanwha Techwin Europe comes with QVGA thermal imaging and high-definition cameras, for COVID-19-related work. The TNM-3620TDY is a bi-spectrum, multi-channel device with a QVGA-class thermal imaging camera and a 2-megapixel video surveillance camera. As such, it can detect heat while providing visual verification of people within its field of view.
In body temperature mode, the thermal imaging camera can to estimate a person’s temperature within a range of 30 to 45 degrees C, with +/-0.5 degrees C accuracy. When supported by black body technology, the accuracy increases to +/-0.3 degrees C, allowing the product to provide a strong indication that a person may have a fever, the product developers say.
Offering support for Deep Learning AI-based face detection, the device can measure the temperatures of up to ten people in real time at a distance of up to 3m. Operators can choose to view either the captured thermal images or standard high-definition video images.
The product is compliant with a series of device technical standards for the safety and essential performance of medical electrical equipment, as published by the International Electrotechnical Commission (IEC). Hanwha Techwin has completed the FDA facility registration process and device registration for the TNM-3620TDY in respect of FDA 510(k) clearance is in progress.
In normal Radiometric mode, the thermal imaging camera with a high degree of accuracy detects and measures changes in temperature within minus 20 degrees C to 130 degrees C range, with users able to set up detection zones to cover specific areas of interest within the camera’s field of view. This provides a tool which generates alerts when there is a threat of fire in recycling, waste management and landfill type facilities, where spontaneous combustion may occur. A detected change in temperature may also be a warning that machinery in factories, processing plants, cold stores and utilities, is faulty. A spot detection feature enables operators, via a web viewer, to click on any pixel within an image to obtain a measurement of the temperature of the area covered by that pixel.
The TNM-3620TDY supports H.265, H.264 and MJPEG compression formats, as well as WiseStream II, a complementary compression technology which dynamically controls encoding, balancing quality and compression, according to movement in the image. Bandwidth efficiency is improved by up to 75 per cent it is claimed, compared to current H.264 technology when WiseStream, which is unique to Wisenet cameras, is combined with H.265 compression. Other features include:
– The 2-megapixel video surveillance camera features a set of Intelligent Video Analytics which include directional detection, motion detection, enter/exit, virtual line, audio detection and cameras tampering detection.
– The TNM-3620TDY has a Micro SD/SDHC/SDXC slot which allows up to 256GB of video or data to be stored at the edge should there be disruption to the network. Video evidence, which potentially might have been lost, can therefore be retrieved when the network connection has been restored.
– PoE+ (IEEE802.3at) and 12VDC.
Uri Guterman, Head of Product and Marketing for Hanwha Techwin Europe said: “Regretfully, in terms of the reputation of the video surveillance industry, some so called ‘fever screening’ solutions devised by other manufacturers, have attracted negative publicity. This is because they have been oversold in terms of what they are capable of delivering.
“Although we have often been the first to market with new product developments and technologies, in this instance we have taken the time to develop the TNM-3620TDY to ensure it is fit for purpose. We highly value the trust our customers and business partners have in our ability to provide solutions which do not compromise on performance and quality. In this respect, they can be confident this camera will meet, if not exceed, their expectations.
“As such, the TNM-3620TDY is a great addition to our suite of COVID-19 related solutions, which includes face mask detection, occupancy monitoring and AI deep learning-based social distance measuring applications.”
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