The premier Public Safety platform for live video
SAFR is a highly accurate, AI platform that is optimized for excellence in accuracy and performance for live video. SAFR provides an integrated suite of capabilities that are architected to economically scale with high performance and rapid processing in near real time, even under challenging conditions. The SAFR platform provides total coverage in three areas: Outside Threat Detection that identifies persons known to be a threat, Identity Management that when used with ID badges verifies the user of the ID Access badge, and Access Control that when used existing smart devices can provide secure area access and control.
SAFR FOR SECURITY
SAFR FOR K-12 SCHOOLS
SAFR FOR GOVERNMENT
Greater Visibility. Greater Confidence.
Today’s heads of security for hospitals, stadiums, corporate campuses, airports, and more must maintain high awareness over large areas through a potentially overwhelming number of security cameras. It’s seemingly impossible to have eyes on every camera every minute, and it’s easy to lose focus when priority one is keeping people, facilities, and assets secure.
SAFR FOR HOSPITALS
SAFR is highly accurate platform powered by artificial intelligence. It works with existing devices and readily available hardware to identify outside threats. Hospitals and healthcare organizations can stay focused and better analyze potential threats such as those who pose a threat from within and outside the hospital or, healthcare organization.
Enhanced School Security
SAFR is highly accurate platform powered by artificial intelligence. It works with existing devices and readily available hardware to identify outside threats. Schools can stay focused and better analyze potential threats such as expelled students, and those who pose a threat from within and outside the school.
Enhanced Healthcare Security
SAFR is the global market leader in providing public safety capabilities to organizations worldwide. SAFR is proven to work well in crowded spaces, making it an ideal surveillance and access control platform for government facilities, transportation stations and public areas.
Recognition in Real-World conditions
Facial Recognition Myths:
Myth 1 – Facial Recognition can perform racial profiling:
The technology that facial recognition uses creates unique patterns on faces and stores these unique patterns in a database.
The technology searches against the unique pattern not, the image itself and has no color bias one way or another.
Therefore, racial profiling is not possible using this technology.
Myth 2 – Facial Recognition has Privacy Issues:
There are video cameras everywhere. People’s faces are already being recorded.
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The cost for not implementing Facial Recognition:
Here is an example of what could go wrong without the facial recognition technology:
Let’s say you have an incident in your office and you have a recording of the incident.
You searched the video and thought you knew the people involved in the video so you accused them of being involved in the incident. However, later you realized you guested wrong. Now you wrongfully accused someone of committing a crime. Using facial recognition
technology you are 99.8% sure of the person in the video. How many people have been wrongfully accused
because they did not have this technology. The technology takes the guessing out of the equation.