|
|
|
|
|
TOKYO, Oct 31, 2016 - (JCN Newswire) - NEC Corporation (TSE: 6701) today announced the global launch of NeoFace Image data mining (NeoFace Idm), specialized software that utilizes Artificial Intelligence (AI) to quickly and accurately search video footage, such as content from crime prevention CCTV cameras, for specific individuals.
In addition to searching for subjects based on facial image data, NeoFace Idm can also search for subjects who appear at specific times and locations, or who appear together with other specific individuals. The software can be utilized in a variety of applications, such as criminal investigations, searching for lost children, and providing improved customer service. When searching video where roughly one million individual instances of facial data appear, the software is capable of conducting searches within approximately 10 seconds.
NeoFace Idm combines the world's most accurate(1 facial recognition technology with "Profiling Across Spatio-Temporal Data"(2)technology, which creates groups of subjects based on their level of similarity and conducts high-speed searches for specific patterns.
"In recent years, there is growing demand for advanced analysis of camera footage for utilization in security and marketing applications," said Noritaka Taguma, General Manager, Transportation and City Infrastructure Division, NEC Corporation. "NeoFace Idm meets this demand by providing high-speed, high-precision searches for persons who appear in specific patterns, which could not be achieved through manual searches or conventional technology."
(1) http://www.nec.com/en/global/solutions/biometrics/technologies/nist_proven_accuracy.html
(2) http://www.nec.com/en/press/201511/global_20151111_02.html
Contact:
NEC
Seiichiro Toda
s-toda@cj.jp.nec.com
+81-3-3798-6511
Topic: Press release summary
Source: NEC Corporation
Sectors: Cloud & Enterprise
http://www.acnnewswire.com
From the Asia Corporate News Network
Copyright © 2023 ACN Newswire. All rights reserved. A division of Asia Corporate News Network.
|
|
|
|
