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Unattended Baggage Detection Using Deep Neural Networks in Intel® Architecture

In a world becoming ever more attuned to potential security threats, the need to deploy sophisticated surveillance systems is increasing. This article discusses inferencing a Microsoft Common Objects in Context (MS-COCO) detection model for detecting unattended baggage in a train station.
作者: 管理 最后更新时间: 2018/05/08 - 09:38
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使用英特尔® 架构中的深度神经网络检测无人看管行李

随着世界中面临的潜在安全威胁变得越来越多,企业对部署复杂的监控系统的需求开始不断增长。能够作为一个直观的“机器人眼睛”,准确实时地检测无人看管行李的智能系统,已经成为机场、火车站、商场和其他公共区域的安保人员的关键需求。本文介绍了用于火车站的无人看管行李检测的 Microsoft Common Objects in Context (MS-COCO) 检测模式。

作者: 管理 最后更新时间: 2018/05/08 - 09:38
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Finding BIOS Vulnerabilities with Symbolic Execution and Virtual Platforms

Intel’s Excite project uses a combination of symbolic execution, fuzzing, and concrete testing to find vulnerabilities in sensitive code.
作者: Engblom, Jakob (Intel) 最后更新时间: 2019/08/02 - 15:51
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A Kerberos*-Based Big Data Security Solution

The Hadoop* Authentication Service helped Alibaba* improve the quality, performance and TCO of its cloud user identity information management system.
作者: Jiajia Li (Intel) 最后更新时间: 2019/07/29 - 09:24