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Porting Edge AI Workflows to CHERI/Morello

Porting Edge AI Workflows to CHERI/Morello
将边缘 AI 工作流程移植到 CHERI/Morello
批准号:
10004538
负责人:
金额:
$9.9万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
翻译
Oxon Tech目前正在完成一项由GovTech Catalyst资助的项目的第二阶段,该项目代表中西部威尔士消防和救援服务部门创建了一个室内跟踪系统,能够在没有现有基础设施要求的情况下立即部署到事故中。我们平台的核心组件是一个身体磨损边缘物联网设备,该设备集成了IMU, ARM处理器,ARM微控制器和用于运行AI的神经处理单元。该平台还包括一个可视化系统,可为事件指挥官提供所有资产部署位置的即时态势概述,以及即时部署的安全wifi / 4g网络。尽管消防和救援服务是该产品的一个优秀且非常有价值的市场,但商业上军事和执法部门的可行性要高得多。创建和保护一个横跨身体穿戴边缘物联网设备、事件指挥官平板电脑、基于云的控制中心的平台是一个巨大的挑战,而且它可能携带部队或警察部署的数据,这使得它非常有可能成为攻击的目标。我们的主要重点是将现有的栈尽可能多地移植到Morello FVP上,识别并解决任何出现的依赖问题。我们还将通过USB直通到FVP(如果可能的话)或仿真,对包含npu在内的硬件设备的选项进行彻底评估。到项目结束时,我们的目标是创建尽可能多的关于移植基于IoT、ROS和如果时间允许的话基于FreeBSD的系统的公开文档,并在DSbD技术方面建立重要的内部专业知识。
英文摘要
Oxon Tech is currently finishing Phase 2 of a GovTech Catalyst funded project on behalf of Mid and West Wales Fire and Rescue Services to create an indoor tracking system, capable of being instantly deployed to incidents with no existing infrastructure requirements.A core component of our platform is a body worn edge IoT device that incorporates an IMU, an ARM process, ARM Microcontrollers and a Neural Processing Unit for running AI The platform also includes a visualisation system that gives incident commanders instant situational overview of where all of their assets are deployed as well as an instantly deployable secure wifi / 4g network.Although the Fire and Rescue Services are an excellent and highly worthy market for this product, commercially the military and law enforcement sectors are far more viable. Creating and securing a platform that spreads across body worn edge iot devices, to incident commander tablets, to cloud based control centers is a huge challenge, and the fact that it is potentially carrying data on troop or police deployment makes it an incredibly likely target for attack.Our main focus will be on porting as much of our existing stack to Morello FVP as possible, identifying and solving any dependency issues that arise. We will also carry out a thorough assessment of options for incorporating hardware devices including NPUs, by either USB passthrough to the FVP if possible or emulation. By the end of the project we aim to have created as much public documentation on porting IoT, ROS based and if time allows FreeBSD based systems as possible, as well as built up significant in-house expertise in DSbD technologies.
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Edge-on型X射线能谱探测器及可重构能谱解析技术研究
  • 批准号:
    61674115
  • 项目类别:
    面上项目
  • 资助金额:
    62.0万元
  • 批准年份:
    2016
  • 负责人:
    史再峰
  • 依托单位: