FaceMe®, a leader in facial recognition technologies, is designed for a wide range of IoT and AIoT applications and can be integrated with high-end servers, workstations and personal computers equipped with GPU to provide highly efficient performance. FaceMe® is optimized for TensorRT™ and supports a wide range of NVIDIA technologies, including CUDA™ and Jetson™.
FaceMe® is certified by the NVIDIA Metropolis Partner Program, an edge-to-cloud platform connecting system integrators with software solutions. CyberLink's FaceMe® technology can uniquely utilize NVIDIA's GPU lineup to enhance overall performance while providing flexible settings to control speed, accuracy and CPU processing. Developers can build high-performance solutions for the most demanding throughput and latency requirements.
People per hour per channel
(Total 18,525 people/hour)
People per hour per channel
(Total 21,930 people/hour)
People per hour per channel
(Total 18,525 people/hour)
People per hour per channel
(Total 21,930 people/hour)
* 1080p images, Video Frame Rate: 15 FPS, Face Recognition Frame Rate: 10 FPS
* FaceMe® SECURITY 5.3 is used
* Tested Platforms: AMD EPYC 7502 CPU, NV RTX A6000, 32 GM Memory, Windows 10 Enterprise
* Tested with 1080p 15fps Video Streams
* Each channel has 510 people per hour walk through the camera. In the peak minutes of this hour, there’ll be 24 people pass by within 1 minute
* The "High Precision (DNN)" model is used for Face Detection
* FaceMe SDK-Jetson 5.3 is used on JetPack 4.4
Jetson™ Nano
Jetson™ Xavier NX
Jetson™ Xavier
Jetson™ Nano
Jetson™ Xavier NX
Jetson™ Xavier
* 1080p images, 1 face per image
* The "High Precision (DNN)" model is used for Face Detection
* FaceMe SDK-Jetson 5.3 is used on JetPack 4.4
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