admin, 2022-01-21 12:15
Investment in the health care segment has skyrocketed after COVID-19, as authorities rushed to ensure hospitals and other facilities were equipped to deal with the demand. Unfortunately, such initiatives were not enough in many places. Despite efforts to increase the numbers of hospital beds and intensive care units, meeting demand has been a challenge.
There were several reasons for this. For some, it was simply the lack of resources. For others, lack of time. But a common issue seen across the world was the difficulty in deciding what technologies could be used best to take control over the situation.
Entering the third (or fourth?) year of the pandemic but clearly still not out of it, authorities have begun thinking of using solutions that would allow them to manage health care facilities better so that the staff and resources are in the best shape to serve patients. This is where facial recognition becomes relevant.
"The technology also retraces people's footsteps, helping to identify where they've been, for how long, with whom, and when," Nicolls said. "The ability to perform this type of contact tracing can help enforce quarantine efforts remotely."
The arrival of COVID-19 has diverted everyone's attention from the usual security concerns. But that doesn't mean those concerns don't exist anymore. Health care facilities must continue to remain vigilant against intruders to ensure that people and assets are safe.
"Facial recognition systems help to accelerate and safeguard onsite admission, limit surface contact and crowding in high-traffic areas, and allow employees to seamlessly unlock doors, turnstiles, or other entry points with their face - without requiring the removal of masks," Nicolls said.
"Oosto's Vision AI can recognize when people enter a medical facility are not wearing a face mask and can be configured to send an alert when it sees that someone is not wearing a mask at all," Nicolls explained.
"Prevent unauthorized access to secure locations (e.g., ICU, pharmacy, maternity ward, operating rooms), quickly identify and segment new patients, and track their location in real-time," Nicolls said. "Ensure that only authorized people are in treatment areas and hasten recovery of patients by eliminating cross-contamination."
This enables them to pinpoint all appearances of subjects or unknown individuals in offline video footage uploaded to the system. Once uploaded, operators can utilize all existing search capabilities to cross-reference between live channels and uploaded cases.
There were several reasons for this. For some, it was simply the lack of resources. For others, lack of time. But a common issue seen across the world was the difficulty in deciding what technologies could be used best to take control over the situation.
Entering the third (or fourth?) year of the pandemic but clearly still not out of it, authorities have begun thinking of using solutions that would allow them to manage health care facilities better so that the staff and resources are in the best shape to serve patients. This is where facial recognition becomes relevant.
6 ways facial recognition helps in health care
Speaking to asmag.com recently, Dean Nicolls, Chief Marketing Officer of Oosto, explained that there are a number of ways where facial recognition can play an essential role in protecting medical clinics and hospitals.-
Contact tracing
"The technology also retraces people's footsteps, helping to identify where they've been, for how long, with whom, and when," Nicolls said. "The ability to perform this type of contact tracing can help enforce quarantine efforts remotely."
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Watchlist alerting
The arrival of COVID-19 has diverted everyone's attention from the usual security concerns. But that doesn't mean those concerns don't exist anymore. Health care facilities must continue to remain vigilant against intruders to ensure that people and assets are safe.
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Touchless access control
"Facial recognition systems help to accelerate and safeguard onsite admission, limit surface contact and crowding in high-traffic areas, and allow employees to seamlessly unlock doors, turnstiles, or other entry points with their face - without requiring the removal of masks," Nicolls said.
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Mask detection
"Oosto's Vision AI can recognize when people enter a medical facility are not wearing a face mask and can be configured to send an alert when it sees that someone is not wearing a mask at all," Nicolls explained.
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Internal zone control
"Prevent unauthorized access to secure locations (e.g., ICU, pharmacy, maternity ward, operating rooms), quickly identify and segment new patients, and track their location in real-time," Nicolls said. "Ensure that only authorized people are in treatment areas and hasten recovery of patients by eliminating cross-contamination."
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Investigations
This enables them to pinpoint all appearances of subjects or unknown individuals in offline video footage uploaded to the system. Once uploaded, operators can utilize all existing search capabilities to cross-reference between live channels and uploaded cases.