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Hi-Speed Real-Time Face Recognition in a Moving Crowd

June 30th 2017

Eye biometrics

NEC's NeoFace Accelerator is a PCI Express low profile 68.9x167.65mm board that performs super-fast face authentication based on 4K video acquisition and face matching with an existing photo database.

Drawing up to 25W, the board can track multiple persons from a crowd of hundreds of people as they move by in large venues, transit stations or shopping malls.

Intel proudly notes that its technology is what powers the card's face recognition engine. NEC, it says, relies on Intel Arria 10 field programmable gate arrays (FPGAs) operating on Intel Xeon processor–based servers to increase the performance of its NeoFace facial recognition engine to a level where an individual can be identified smoothly from a high-resolution image with dozens of faces.

“Facial recognition in a moving crowd requires highly advanced techniques when compared to still images because these cameras are affected by many factors: camera location, image quality and lighting, along with the subject’s size, walking speed and face direction,” explains Tadashige Kadoi, general manager of IoT Platform Development Division, NEC Corporation.

“Intel FPGAs and their parallel processing capability help NEC to enable fast and accurate collection and processing of images from even 4K high-resolution remote cameras.”

Last March, NEC NeoFace was ranked No. 1 in almost all tests by the U.S. National Institute of Standards and Technology (NIST) specifically for face-in-video evaluation. The NIST tests evaluated the accuracy of the technology in two real-life test scenarios including a test for entry-exit management at an airport passenger gate. It determined whether and how well the engine could recognize people as they walked through an area one at a time without stopping or looking at the camera.

NEC's face recognition technology won first place with a matching accuracy of 99.2 percent. The error rate of 0.8 percent was less than one-fourth of the second place error rate, claims Intel.

In the second test, the technology was asked to detect suspicious individuals at an indoor stadium. This test was conducted with an individual situated far from the camera, with their face direction changing frequently. NEC's face recognition technology won first place with an

NEC's NeoFace Accelerator is a PCI Express low profile 68.9x167.65mm board that performs super-fast face authentication based on 4K video acquisition and face matching with an existing photo database.

Drawing up to 25W, the board can track multiple persons from a crowd of hundreds of people as they move by in large venues, transit stations or shopping malls.

Intel proudly notes that its technology is what powers the card's face recognition engine. NEC, it says, relies on Intel Arria 10 field programmable gate arrays (FPGAs) operating on Intel Xeon processor–based servers to increase the performance of its NeoFace facial recognition engine to a level where an individual can be identified smoothly from a high-resolution image with dozens of faces.

“Facial recognition in a moving crowd requires highly advanced techniques when compared to still images because these cameras are affected by many factors: camera location, image quality and lighting, along with the subject’s size, walking speed and face direction,” explains Tadashige Kadoi, general manager of IoT Platform Development Division, NEC Corporation.

“Intel FPGAs and their parallel processing capability help NEC to enable fast and accurate collection and processing of images from even 4K high-resolution remote cameras.”

Last March, NEC NeoFace was ranked No. 1 in almost all tests by the U.S. National Institute of Standards and Technology (NIST) specifically for face-in-video evaluation. The NIST tests evaluated the accuracy of the technology in two real-life test scenarios including a test for entry-exit management at an airport passenger gate. It determined whether and how well the engine could recognize people as they walked through an area one at a time without stopping or looking at the camera.

NEC's face recognition technology won first place with a matching accuracy of 99.2 percent. The error rate of 0.8 percent was less than one-fourth of the second place error rate, claims Intel.

In the second test, the technology was asked to detect suspicious individuals at an indoor stadium. This test was conducted with an individual situated far from the camera, with their face direction changing frequently. NEC's face recognition technology won first place with an

NEC's NeoFace Accelerator is a PCI Express low profile 68.9x167.65mm board that performs super-fast face authentication based on 4K video acquisition and face matching with an existing photo database.

Drawing up to 25W, the board can track multiple persons from a crowd of hundreds of people as they move by in large venues, transit stations or shopping malls.

Intel proudly notes that its technology is what powers the card's face recognition engine. NEC, it says, relies on Intel Arria 10 field programmable gate arrays (FPGAs) operating on Intel Xeon processor–based servers to increase the performance of its NeoFace facial recognition engine to a level where an individual can be identified smoothly from a high-resolution image with dozens of faces.

“Facial recognition in a moving crowd requires highly advanced techniques when compared to still images because these cameras are affected by many factors: camera location, image quality and lighting, along with the subject’s size, walking speed and face direction,” explains Tadashige Kadoi, general manager of IoT Platform Development Division, NEC Corporation.

“Intel FPGAs and their parallel processing capability help NEC to enable fast and accurate collection and processing of images from even 4K high-resolution remote cameras.”

Last March, NEC NeoFace was ranked No. 1 in almost all tests by the U.S. National Institute of Standards and Technology (NIST) specifically for face-in-video evaluation. The NIST tests evaluated the accuracy of the technology in two real-life test scenarios including a test for entry-exit management at an airport passenger gate. It determined whether and how well the engine could recognize people as they walked through an area one at a time without stopping or looking at the camera.

NEC's face recognition technology won first place with a matching accuracy of 99.2 percent. The error rate of 0.8 percent was less than one-fourth of the second place error rate, claims Intel.

In the second test, the technology was asked to detect suspicious individuals at an indoor stadium. This test was conducted with an individual situated far from the camera, with their face direction changing frequently. NEC's face recognition technology won first place with an error rate half that of the second place error rate.

On the NeoFace Accelerator car, NEC’s NeoFace facial recognition engine software IP is integrated into an Intel Arria 10 FPGA. Intel teams also worked with NEC to enhance the performance of NeoFace data center server technology. NEC NeoFace Accelerator includes not only the Intel Arria 10 FPGA, but also an Intel MAX 10 low-cost FPGA and Intel Enpirion power devices.


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