Coinciding with the recent launch of the Occupancy Monitoring application designed to help implement social distancing rules , Hanwha Techwin has also introduced a Face Mask Detection application which will further help businesses operate in a COVID affected world. Wearing a mask is believed to prevent the spread of COVID and has already been adopted as a safety measure in many workplaces. However, the availability of the Face Mask Detection application could not come at a better time with the World Health Organisation WHO now recommending the use of face masks wherever social distancing is difficult. The UK government is also making it compulsory to wear a face-covering when visiting or working within healthcare facilities and when using public transport. The UK is not alone in introducing regulations to ensure the wearing of face coverings. In Germany, for example, it is necessary to do so when on public transport and while shopping, and in Spain everyone older than six, has to wear masks in indoor public spaces and outdoors when it is not easy for people to keep more than two metres apart. The audio message is generated via an audio support feature built into Wisenet X cameras, negating the need for a PC or a separate audio storage device to be installed nearby. A short cable is all that is required to connect a speaker to the camera.
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Hanwha Techwin has always been able to rapidly respond to changing market demands and with countless businesses extremely eager to re-open, we have yet again been able to rise to the challenge. Help is immediately on hand for businesses who are urgently seeking to safely re-open their doors following the easing of COVID related restrictions. Our licence-free Occupancy Monitoring application provides retailers, places of worship and museums, as well as leisure facilities, pubs, clubs and restaurants, with highly accurate data on the number of customers on their premises at any particular time. Compatible with the recently introduced Wisenet P Series AI cameras, the edge-based Occupancy Monitoring application simultaneously counts the number of people entering or leaving a building. The Occupancy Monitoring application has the power to aggregate and process data from multiple cameras and is therefore ideal for buildings with multiple entrances and exits. As a serverless solution, it negates the need for system integrators to spend time configuring complicated server-side software. It also significantly reduces the capital cost of a project as the end-user does not need to incur the cost of buying a server. With the support of Deep Learning AI built into the cameras, the Occupancy Monitoring application offers the additional benefit of being able to accurately count people even when a camera is wall mounted.
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