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Autonomous 3D Modeling of House Roofs from Remote Sensing Data

Autonomous 3D Modeling of House Roofs from Remote Sensing Data
根据遥感数据对房屋屋顶进行自主 3D 建模
批准号:
531017-2018
负责人:
Wong, Alexander
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

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中文摘要
翻译
Aerialytic旨在解决太阳能行业的行业领先资格认证挑战,通过该挑战,我们**将使房主和太阳能销售公司都能够克服与使用太阳能电池板**相关的障碍,从而在加拿大国内和全球范围内扩大太阳能的采用率。**目前,太阳能销售公司将其领先采购预算的60%用于太阳能销售生态系统。**太阳能销售代理需要手动对每个询问太阳能电池板的房主进行资格认证;这**包括为他们认为可以通过使用太阳能节省开支的每个家庭创建一个定制设计。**即使对于大量(40%)由于屋顶遮阳或大小等因素而不符合条件的房主来说,这一漫长的过程也是必需的。这些销售漏斗效率低下导致太阳能销售**公司的运营成本很高,房主的客户体验也很差,他们必须等待长达2天才能获得信息,**由于失去兴趣,导致降幅超过30%。**我们的解决方案是使用人工智能的工具来自动化资格认证过程。该项目将**设计和建造一个端到端的多阶段系统,从卫星图像中自动提取**房屋的精确屋顶几何形状,并为房主提供他们现场的定制太阳能设计,以及**财务和环境回报**信息。**仅在美国就有超过35万名房主过渡到太阳能;在我们的技术的帮助下,**我们相信我们可以在美国和全球放大这一数字。
英文摘要
Aerialytic aims to solve an industry-wide lead-qualifying challenge in the solar energy industry, through which we**will enable both homeowners and solar sales companies to overcome barriers associated with utilizing solar**panels, thereby expanding solar energy adoption within Canada and globally.**Currently, solar sales companies are spending 60% of their lead acquisition budget in the solar sales ecosystem.**A solar sales agent needs to manually qualify every single homeowner that inquires about solar panels; this**includes creating a custom design for every home that they believe would reap savings from using solar energy.**This lengthy process is required even for the large number of homeowners (40%) that do not qualify due to**factors such as roof shade or size. These sales funnel inefficiencies result in high operational costs for solar sales**companies and a poor customer experience for homeowners, who must wait up to 2 days to obtain information,**leading to an over 30% drop off-rate due to loss of interest.**Our solution is to automate the qualification process by using tools from Artificial Intelligence. This project will**design and build an end-to-end multi-stage system to automatically extract an accurate roof geometry for a**house from satellite imagery, and provide homeowners with their custom solar design on the spot, along with**information on financial and environmental returns.**Last year over 350,000 homeowners transitioned to solar energy in the US alone; with the help of our technology,**we believe we can amplify this number in the US and across the globe.
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Deep graphical models and methods for multi-modal biomedical image processing, analysis, and interpretation
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 依托单位:
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  • 批准号:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
    Wong, Alexander
  • 依托单位:
Deep graphical models and methods for multi-modal biomedical image processing, analysis, and interpretation
  • 批准号:
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  • 项目类别:
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    $3.35万
  • 财政年份:
    2021
  • 负责人:
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