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A new face recognition server software using deep learning technology will be released this year. This high-precision face recognition software can identify faces that are difficult to recognize with conventional technologies, including faces at an angle of up to 45 degrees to the left or right or 30 degrees up or down, and those partially hidden by sunglasses.

In April 2017, the technology, developed by Panasonic, achieved the highest level of face recognition performance in the world in a comparison test of the NIST (US National Institute of Standards and Technology), one of the most authoritative institutes in the world.

The Face Recognition Server Software WV-ASF950 and the Face Registration Expansion Kit WV-ASFE951W will be launched in July outside Japan and in August 2018 in Japan.

The new software features the “iA (intelligent Auto) mode” that automatically adjusts settings for the camera to shoot optimal images best suited for face recognition. When it is used with Panasonic’s i-PRO EXTREME series network cameras only the “Best Shots” will be sent to the server for face recognition.

The combination of Panasonic core devices and the face recognition software maximizes the performance of the software’s core engine to achieve high-precision recognition, according to the company’s announcement on its website. It is planned to add a function to recognize partially covered faces with a surgical mask, which is difficult with conventional systems, by the end of this year.

Furthermore, using this software with cameras equipped with the iA function enables image analysis to be performed on the camera instead of the server to send only the best images to the server. This will result in reducing server and network loads, which leads to overall system cost reductions. In the case of 10 or more network cameras are connected to the system, the costs can be reduced by about 40 to 50% compared to conventional systems that do not use the Best Shot function.