Product
|
Description
|
Minimum Requirements
|
Recommended Requirements
|
Desktop client
|
One of the adminstration consoles for SAFR. Use the Desktop client to connect to a camera, video feed, detect faces, and submit images to the SAFR Server for recognition.
|
-
Windows Server 2016 or Windows 8.1
-
.NET Framework 4.6.2 or later
-
Intel Core i5-8259U or AMD Ryzen 7 2700X
-
NVIDIA GT 1030 2GB
-
1GB RAM per connected camera
-
1.5GB available storage
-
Supports 2-3 4K cameras1
-
Supports 4+ 1080p cameras1
|
-
Windows Server 2016 or Windows 10
-
.NET Framework 4.6.2 or later
-
Intel Core i9-7980XE or AMD Ryzen 7 2700X
-
NVIDIA GTX 1050Ti 4GB
-
NVIDIA driver 418.96+ for GPU-enhanced performance
-
1GB RAM per connected camera
-
1.5GB available storage
-
Supports up to eight 4K cameras1
-
Supports 9+ 1080p cameras1
|
Desktop Lite
|
A version of the Desktop client with fewer features and lower system requirements.
|
-
Windows Server 2016 or Windows 8.1
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.NET Framework 4.6.2 or later
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Intel Core i5-7260U
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NVIDIA GT 1030 2GB
-
0.2GB RAM per connected camera
-
0.5GB available storage
|
-
Windows Server 2016 or Windows 10
-
.NET Framework 4.6.2 or later
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Intel Core i7-8750H
-
NVIDIA GTX 1050Ti 4GB
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0.2GB RAM per connected camera
-
0.5GB available storage
|
SAFR Actions
|
Actions allow you to create and manage responses to event triggers; deploy them to unlock a door, turn on a light, send an alert, record data for reporting, or any security response to fit the use case.
|
-
Windows Server 2016 or Windows 8.1
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Intel Core i5-7260U or AMD Ryzen 7 2700X
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1GB RAM
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1GB available storage
|
-
Windows Server 2016 or Windows 10
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Intel Core i5-8259U or AMD Ryzen 7 2700X
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1GB RAM
-
1GB available storage
|
SAFR Server2
|
The trusted engine of SAFR solutions, the SAFR Server includes: the facial recognition server, identity database, recognition event server, event archive, report server, and remote video feed administration servers.
|
-
Windows Server 2016 or Windows 8.1
-
.NET Framework 4.6.2 or later
-
Intel Core i9-7980XE or AMD Ryzen TR 1950X
-
NVIDIA GTX 1050Ti 4GB
-
NVIDIA driver 418.96+ for GPU-enhanced performance
-
16GB RAM
-
1TB available storage
|
-
Windows Server 2016 or Windows 10
-
.NET Framework 4.6.2 or later
-
Intel Core i9-7980XE or AMD Ryzen TR 1950X
-
NVIDIA GTX 1050Ti 4GB
-
NVIDIA driver 418.96+ for GPU-enhanced performance
-
32GB RAM
-
1TB available storage
|
1 = Number of cameras is based on an average of five visible faces in a 4K resolution camera view, running at 15 frames per second. Using fewer faces per camera and lower resolution will enable support for more cameras.
2 = Installed as part of the SAFR Platform installer.
Product
|
Description
|
Minimum Requirements
|
Recommended Requirements
|
Desktop client
|
One of the adminstration consoles for SAFR. Use the Desktop client to connect to a camera, video feed, detect faces, and submit images to the SAFR Server or Cloud for recognition.
|
-
macOS 10.12
-
Dual Core i7
-
1GB RAM per connected camera
-
0.5GB available storage
-
Supports one 4K camera1
-
Supports 2+ 1080p cameras1
|
-
iMac Pro:
-
macOS 10.12
-
8-core Intel Xeon
-
1GB RAM per connected camera
-
0.5GB available storage
-
Supports up to eight 4K cameras1
-
iMac, MacBook Pro, Mac mini:
-
macOS 10.12
-
6-core Intel i7
-
1GB RAM per connected camera
-
0.5GB available storage
-
Supports up to three 4K cameras1
-
Supports 4+ 1080p cameras1
|
SAFR Actions
|
Actions allow you to create and manage responses to event triggers; deploy them to unlock a door, turn on a light, send an alert, record data for reporting, or any security response to fit the use case.
|
-
macOS 10.12
-
Dual Core i5
-
1GB RAM
-
0.5GB available storage
|
-
macOS 10.12
-
Dual Core i5
-
1GB RAM
-
0.5GB available storage
|
SAFR Server2
|
The trusted engine of SAFR solutions, the SAFR Server includes: the facial recognition server, identity database, recognition event server, event archive, report server, and remote video feed administration servers.
|
-
macOS 10.12
-
Quad Core i7 2.6GHz
-
16GB RAM
-
1TB available storage
-
Supports one 4K camera1
|
-
iMac Pro:
-
macOS 10.12
-
10-core Intel Xeon
-
32GB RAM
-
1TB available storage
-
Supports up to six 4K cameras1
-
Supports 7+ 1080p cameras1
-
Mac mini:
-
macOS 10.12
-
6-core Intel i7 3GHz
-
32GB RAM
-
1TB available storage
-
Supports up to four 4K cameras1
-
Supports 5+ 1080p cameras1
|
1 = Number of cameras is based on an average of five visible faces in a 4K resolution camera view, running at 15 frames per second. Using fewer faces per camera and lower resolution will enable support for more cameras.
2 = Installed as part of the SAFR Platform installer.
Product
|
Description
|
Minimum Requirements
|
Recommended Requirements
|
Desktop client
|
Not available on Linux.
|
N/A
|
N/A
|
SAFR Actions
|
Not available on Linux.
|
N/A
|
N/A
|
SAFR Server1
|
The trusted engine of SAFR solutions, SAFR Server includes: the facial recognition server, identity database, recognition event server, event archive, report server, and remote video feed administration servers.
|
-
Linux Ubuntu 16.04, 16.10, 18.04, CentOS 7.5, or Amazon Linux 2018.03
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Intel Core i5-8259U or AMD Ryzen 7 2700X
-
NVIDIA GTX 1050Ti 4GB
-
16GB RAM
-
1TB available storage
|
-
Linux Ubuntu 16.04, 16.10, 18.04, CentOS 7.5, or Amazon Linux 2018.03
-
Intel Core i9-7980XE or AMD Ryzen TR 1950X
-
NVIDIA GTX 1050Ti 4GB
-
32GB RAM
-
1TB available storage
|
1 = Installed as part of the SAFR Platform installer.
1 = Installed as part of the SAFR Platform installer.
Product
|
Description
|
Minimum Requirements
|
Recommended Requirements
|
Mobile client for iOS
|
Set up a registration kiosk, perform facial recognition, and add users — all from a mobile device.
|
-
iOS 11.0
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iPad Pro or iPhone 6/7/8/X
|
-
iOS 11.0
-
iPad Pro or iPhone 6/7/8/X
|
Mobile client for Android
|
Set up a registration kiosk, perform facial recognition, and add users — all from a mobile device.
|
-
Android 5.0 with Google Play Services 13.2.74 or later
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Quad-core Snapdragon 802 2.5GHz
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2GB RAM
-
13MB available storage
|
-
Android 6.0
-
Quad-core Snapdragon 802 2.5GHz
-
Samsung Galaxy Tab S4
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Samsung Galaxy S8
-
Google Pixel 2 XL
-
2GB RAM
-
13MB available storage
|
SAFR Beam for Android
|
This SAFR utility allows you to configure Android mobile devices for secure SAFR operation.
|
-
Android 6.0
-
Near-Field Communication (NFC) support required
-
1MB RAM
-
8MB available storage
|
-
Android 6.0
-
Near-Field Communication (NFC) support required
-
1MB RAM
-
8MB available storage
|
Product
|
Description
|
Minimum Requirements
|
Recommended Requirements
|
Windows SAFR SDK, Lite Edition
|
Create a Windows app that can be used to locate and track faces and/or badges in a video file or live video stream. The Lite Edition lacks GPU acceleration, but it has a smaller footprint.
|
-
Windows 8.1 64-bit
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C# 7.0
-
1GB RAM per 4k video stream
-
60MB available storage
|
-
Windows 10 64-bit
-
Microsoft Visual C++ (MSVC) 2017 or newer is strongly recommended
-
C# 7.0
-
1GB RAM per 4k video stream
-
60MB available storage
|
Windows SAFR SDK, Standard Edition
|
Create a Windows app that can be used to locate and track faces and/or badges in a video file or live video stream. The Standard Edition has GPU acceleration.
|
-
Windows 8.1 64-bit
-
C# 7.0
-
1GB RAM per 4k video stream
-
0.5GB available storage
-
NVIDIA GTX 1030 or better
-
NVIDIA driver 418.96 or later
|
-
Windows 10 64-bit
-
Microsoft Visual C++ (MSVC) 2017 or newer is strongly recommended
-
C# 7.0
-
1GB RAM per 4k video stream
-
0.5GB available storage
-
NVIDIA GTX 1080 Ti
-
NVIDIA driver 418.96 or later
|
Linux SAFR SDK, Lite Edition
|
Create a Linux app that can be used to locate and track faces and/or badges in a video file or live video stream. The Lite Edition lacks GPU acceleration, but it has a smaller footprint than the Standard Edition.
|
-
Ubuntu 16 or 18
-
If Ubuntu 18 is used, you may need to downgrade the OpenSSL installation to version 3.
-
1GB RAM per 4k video stream
-
60MB available storage
Install the following additional software components to allow VIRGO to run successfully:
-
libcurl3
-
libgomp1
-
libatomic1
-
libbsd0
-
libv4l-0
|
-
Ubuntu 16 or 18
-
If Ubuntu 18 is used, you may need to downgrade the OpenSSL installation to version 3.
-
1GB RAM per 4k video stream
-
60MB available storage
Install the following additional software components to allow VIRGO to run successfully:
-
libcurl3
-
libgomp1
-
libatomic1
-
libbsd0
-
libv4l-0
|
Linux SAFR SDK, Standard Edition
|
Create a Linux app that can be used to locate and track faces and/or badges in a video file or live video stream. The Standard Edition has GPU acceleration.
|
-
Ubuntu 16 or 18
-
If Ubuntu 18 is used, you may need to downgrade the OpenSSL installation to version 3.
-
1GB RAM per 4k video stream
-
0.5GB available storage
-
NVIDIA GTX 1080 Ti
-
NVIDIA driver 418.96 or later
Install the following additional software components to allow VIRGO to run successfully:
-
libcurl3
-
libgomp1
-
libatomic1
-
libbsd0
-
libv4l-0
|
-
Ubuntu 16 or 18
-
If Ubuntu 18 is used, you may need to downgrade the OpenSSL installation to version 3.
-
1GB RAM per 4k video stream
-
0.5GB available storage
-
NVIDIA GTX 1080 Ti
-
NVIDIA driver 418.96 or later
Install the following additional software components to allow VIRGO to run successfully:
-
libcurl3
-
libgomp1
-
libatomic1
-
libbsd0
-
libv4l-0
|
macOS SAFR SDK
|
Create a macOS app that can be used to locate and track faces in a video file or live video stream.
|
-
macOS 10.12
-
1GB RAM per 4K video stream
-
215MB available storage
|
-
macOS 10.14
-
1GB RAM per 4K video stream
-
215MB available storage
|
iOS SAFR SDK
|
Create an iOS app that can be used to locate and track faces in a video file or live video stream.
|
-
iOS 11 or higher
-
iPhone 6
-
Swift 5
-
92MB available storage
|
-
iOS 12
-
iPhone X or iPad Pro
-
Swift 5
-
92MB available storage
|
Android SAFR SDK
|
Create an Android app that can be used to locate and track faces in a video file or live video stream.
|
-
Android 6.0
-
1GB RAM
-
0.5GB available storage
|
-
Android 6.0
-
1GB RAM
-
0.5GB available storage
|
Product
|
Description
|
Minimum Requirements
|
Recommended Requirements
|
Windows x86 SAFR Embedded SDK, Lite Edition
|
Build a facial recognition app on a Windows device with limited resources (RAM, CPU, or memory). The Lite Edition lacks GPU acceleration, but it has a smaller footprint than the Standard Edition.
|
-
Windows 8.1 64-bit
-
x86 Architecture
-
200MB RAM
-
60MB available storage
|
-
Windows 10 64-bit
-
x86 Architecture
-
200MB RAM
-
60MB available storage
|
Windows x86 SAFR Embedded SDK, Standard Edition
|
Build a facial recognition app on a Windows device with limited resources (RAM, CPU, or memory). The Standard Edition has GPU acceleration.
|
-
Windows 8.1 64-bit
-
x86 Architecture
-
200MB RAM
-
0.5GB available storage
-
NVIDIA GTX 1030 or better
-
NVIDIA driver 418.96 or later
|
-
Windows 10 64-bit
-
x86 Architecture
-
200MB RAM
-
0.5GB available storage
-
NVIDIA GTX 1080 Ti
-
NVIDIA driver 418.96 or later
|
Linux x86 SAFR Embedded SDK, Lite Edition
|
Build a facial recognition app on a Linux x86 device with limited resources (i.e. RAM, CPU, or memory). The Lite Edition lacks GPU acceleration, but it has a smaller footprint than the Standard Edition.
|
-
Ubuntu 16.04 or later
-
x86 Architecture
-
500 MB RAM
|
-
Ubuntu 16.04 or later
-
x86 Architecture
-
500 MB RAM
|
Linux x86 SAFR Embedded SDK, Standard Edition
|
Build a facial recognition app on a Linux x86 device with limited resources (RAM, CPU, or memory). The Standard Edition has GPU acceleration.
|
-
Ubuntu 16.04 or later
-
x86 Architecture
-
1500 MB RAM
-
Nvidia GPU GTX10xx or later
|
-
Ubuntu 16.04 or later
-
x86 Architecture
-
1500 MB RAM
-
Nvidia GPU GTX10xx or later
|
Linux ARM SAFR Embedded SDK
|
Build a facial recognition app on a Linux ARM device with limited resources (RAM, CPU, or memory).
|
-
Ubuntu 18.04 or later
-
64bit ARMv8 CPU
-
200 MB RAM
|
-
Ubuntu 18.04 or later
-
64bit ARMv8 CPU
-
200 MB RAM
|
Jetson SAFR Embedded SDK
|
Build a facial recognition app on a Jetson device with limited resources (RAM, CPU, or memory).
|
The following Jetson devices are supported:
-
Nvidia Jetson TX2
-
Nvidia Jetson Xavier
-
Nvidia Jetson Nano
|
The following Jetson devices are supported:
-
Nvidia Jetson TX2
-
Nvidia Jetson Xavier
-
Nvidia Jetson Nano
|
Android ARM SAFR Embedded SDK
|
Build a facial recognition app on an Android device with limited resources (RAM, CPU, or memory).
|
-
Android 6.0
-
ARMv7 or ARVMv8 Architecture
-
200MB RAM
-
150MB available storage
|
-
Android 6.0
-
ARMv7 or ARVMv8 Architecture
-
200MB RAM
-
150MB available storage
|