ISS – Intelligent Security Systems, a supplier of intelligent Video Management System (VMS) and analytics, has added SecurOS Hand Sanitizer to the company’s offering of COVID-19 return-to-work solutions. The new analytics, built on artificial neural network (ANN) and imaging technology from Intel, is designed to detect if an individual has not properly cleansed their hands in a designated area where handwashing and/or hand sanitization is mandated. Initially developed for use in the food service industry, the demand for hand sanitizer analytics is trending rapidly to meet emerging compliance requirements in a post COVID-19 world.

“One of the most basic ways to prevent the spread of COVID-19 involves hand washing and sanitization. Like many drugs that were developed for other ailments that are now being used to combat COVID-19, our SecurOS Hand Sanitizer analytics was initially in development for another purpose, but seems most appropriate now as an intelligent and autonomous solution to help prevent the spread of this deadly virus,” said Aluisio Figueiredo, CEO of Intelligent Security Systems.

Market demand for SecurOS Hand Sanitizer has already been generated from numerous hospitals, medical offices, industrial facilities, commercial and residential buildings, and public and government facilities across the country to help establish safe return-to-work procedures.

The ISS SecurOS Hand Sanitizer solution integrates Intel Realsense cameras with ISS’ SecurOS analytics platform to identify and analyze postures and movements of the skeletal body form. The combination of image depth metadata from Realsense and the analytics, tracks the movement of hands in the act of washing/sanitizing. The metadata is further processed by the SecurOS platform which defines actions as combinations of elementary movements.

ISS said the SecurOS Hand Sanitizer solution, combined with other risk mitigation precautions and mandates, can lessen the impact of the current pandemic and help avoid the potential of a second wave of COVID-19 infection.

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