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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.
Автор: админ Последнее обновление: 08.05.2018 - 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。

Автор: админ Последнее обновление: 08.05.2018 - 09:38
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Intel® Vision Products Power the Next Generation of Digital Security and Surveillance

Автор: админ Последнее обновление: 18.03.2019 - 09:32
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Intel® Vision Products Optimize Deep Learning for Visual Surveillance

Автор: админ Последнее обновление: 18.03.2019 - 10:17
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The Convergence of Cybersecurity and Artificial Intelligence

Protecting data is critical to all who connect to the digital world, and Intel leads that effort with innovative technologies and solutions.
Автор: ABHILASHA B. (Intel) Последнее обновление: 23.07.2019 - 11:34