Google is rolling out the platform as a consumer tool in Boston, the San Francisco Bay area, and Fresno, Calif. Users plug in their address and how much they typically spend on electricity. 
Florida Polytechnic University, Designed Is Architecture Fueling this Pandemic, and IKEA Launches Augmented Reality Application, Next Progressives: IUA Ignacio Urquiza Arquitectos, Meet the Winners of the 2022 AIA Election, Harvard GSD Introduces Its 2023 Loeb Fellowship Class, Harvard GSD Announces 2022 Wheelwright Prize Shortlist, AIA Publishes Justice Supplement to Guides for Equitable Practice, IIDA Expands 'Design Your World' Education Program to Miami, WoodWorks Names 2022 U.S. Wood Design Award Winners, Wan Bridge Secures Site for Newest Build-to-Rent Community in Greater Houston, NKBAs Residential Kitchen and Bath Market Outlook Update Forecasts Double-Digit Increase Over 2021, Existing-Home Sales Slide for Fifth Consecutive Month in June, Our Competitor Is the Status Quo: How Agorus Plans to Transform the Construction Industry, Residential Construction Starts Decline Another 2% in June, Inventory in Overvalued Housing Markets Is Rising, Decoding the Framing Square for Rafter Layout, New Tool: Metabo HPT MultiVolt Cordless Compressor, 390,000 Nonfarm Payroll Jobs Added in June. Start building on Google Cloud with $300 in free credits and 20+ always free products. We began to identify roof segments by applying image processing and edge detection on both the satellite and depth data, but we quickly realized that semantic segmentation would yield much better results, as similar edges were detected successfully with that method in research literature. Due to the difference in shape and scale of chosen classes we decided to use a separate model from the segmentation model to detect obstructions, although both models are similar in structure. To learn more about how SunPower is using the cloud, read this blog post from Google Cloud CEO Thomas Kurian. And AI Platform helped us focus on the core design problem, achieve our goals faster, and create designs quickly. The journal of the American Institute of Architects. Read on to learn how and why we built this technology for our customers, called SunPower Instant Design. Our team was able to start work on this exciting project due to advances in aerial imagery and machine learning. combines aerial 3D models from Google Maps, historical weather data, the cost
Finally, the app connects homeowners with local installers to do the workalong with, we hope, a tried-and-true site evaluationof getting the PVs on the roof. Homeowners typically spend a significant amount of time online researching solar panels and running calculations to understand their potential savings and the number of panels they need for their home. For instance, we added batch normalization to each convolutional layer for regularization and selected the Wide Residual Network as our encoder for improved accuracy. Our initial training setup was on our own servers, and the training process was slow: training a new model took a week. While we have more work to do, we are optimistic that SunPower Instant Design will transform the solar industry when our first product featuring this technology launches this summer. The Coming Renewable Energy Revolution in the Middle East, USGBCLA Reveals Lineup for 21st Annual My Green Building Conference, Why Standby Power is Imperative for Residential Healthcare, This Week in Tech: A Floating Park Made Entirely of Recycled Plastic Waste, The Acceleration of Building Sensors Networks. Hallie Busta is an associate editor of products and technology atARCHITECT. For Instant Design, we partnered with Google Project Sunroof for access to both satellite and digital surface model (DSM) data. She describes how SunPower uses AI Platform to provide users with useful models and proposals of solar panel layouts for their home, with only a street address for user input. 
For now, however, we'll have to wait and see where the app goes next. 
First, we model the roof in three dimensions to account for obstructions such as chimneys and vents. 
Have you ever wondered what solar panels would look like on your roof? maps google delivery special apis There are no quick answers because every roof is different and every house requires a customized design. Google knows about usiswhether our homes and businesses could benefit from the addition of solar panels. With Instant Design, we replicate this same process by leveraging tools including machine learning and optimization. What Happens After the Work is Completed? vacation After some experimentation, we chose to perform semantic segmentation, and then selected a version of a U-net that works well with our type of imagery at high speeds. Moreover, we took full advantage of the ability to train multiple models simultaneously to conduct a vast hyperparameter search. Indeed, there are more roof pixels than obstruction pixels in our images. We are changing how we offer solar power to homeowners by giving them immediate answers to their questions. How we helpDesigning a solar power system for a home is a process that relies on factors unique to each home. encounter who think that 'my roof isnt sunny enough for solar,' or 'solar is
many of them are missing out on a chance to save money and be green.. Editors Note: Todays post comes from Nour Daouk, Product Manager at SunPower. She holds a bachelor's degree in journalism from Northwestern University's Medill school and a LEED Green Associate credential. Below, well explain how we used deep neural networks to obtain accurate three-dimensional models of residential roofs. of utilities, and the value of local incentives to gauge whether covering a rooftop with photovoltaics (PVs) would result in energy-cost savings. In ablog postannouncing the project, Elkin explained why he developed the tool:Ive always been surprised at how many people I
It also offers information on purchasing or leasing the panels, as well as taking out a loan to cover the installation expenses, and the projected payback period in energy-cost savings. just too expensive. Certainly
We used our database of manually generated designs as a base for our labeled data, and projected those onto the RGB and depth channels for the training, validation, and test sets. Speed and scale via Cloud AI PlatformOnce we had built a satisfactory proof of concept, we quickly realized that we would need to iterate on our model in order to deliver an experience that was ready for homeowners.
ConclusionSunPower empowers homeowners to understand the amount of energy they can generate with solar, now with just a few clicks. The online app is the project of Google engineer Carl Elkin, who previously volunteered with Solarize Massachusetts, a Boston-based solar-adoption program targeting residences and businesses. Mithun, Waggonner & Ball Architecture/Environment. sunroof solaires utile dire Our main challenge here was that we had to handle both the quantity and size of the obstructions, and address any imbalance in class representation. We needed to build a development pipeline that could quickly bring modeling ideas from conception to deployment, so we chose AI Platform to help us scale. Announced yesterday, the company'sProject Sunroof resources calculator Follow her on Twitter at@HallieBusta. A Web-based platform, Google's Project Sunroof is rolling out in three U.S. cities and regions. The data: guiding the design with both color and depth imageryIt is probably possible to design a three-dimensional model of a roof with satellite imagery alone, but design accuracy improves greatly with the use of a height map.
The app, in turn, shares a recommended solar installation size in square feet and kilowatts.
We also created a domain-specific loss function to get the model to converge to meaningful outcomes. Yetthe scale of Google's resources gives Project Sunroof a leg up in reaching the masses. Copyright 2022 Zonda Media, a Delaware corporation. At SunPower, were helping homeowners create solar designs from the comfort of their home. Hallie Busta is a former associate editor of products and technology at ARCHITECT, Architectural Lighting, and Residential Architect. Previously, she wrote about building-material sales and distribution at Hanley Wood. Architect Magazine: Architectural Design |ArchitectureOnline: The premier site for architecture industry news & building resources for architects and architecture industry professionals. The U-net architecture was a solid starting point, with a few tweaks for better results. What gets in the way: chimneys, vents, pipes, and skylightsIn an effort to avoid mistakenly placing panels on obstructions such as chimneys, vents, pipes, skylights, and previously-installed panels, our next step is to detect those obstructions as separate items on the roof.
It is currently available in the greater Boston area, Washington, D.C., Washington County, Ore., and Lo Barnachea and Vitacura, both in Chile. The tech giant isn't the first to put this type of information into consumers' hands. Mapdwell, a project from MIT's Sustainable Design Lab, for example, launched in 2013 to provide homeowners and businesses with the costs and benefits of adding PVs to a building. With SunPower Instant Design, homeowners can create their own designs in seconds, which improves their buying experience, reduces barriers to going solar, and ultimately increases solar adoption. Finally, we model the angle and exposure of sunlight hitting the roof to calculate the systems potential energy production. satellites icymi raining laundry folding tiny machine
Florida Polytechnic University, Designed Is Architecture Fueling this Pandemic, and IKEA Launches Augmented Reality Application, Next Progressives: IUA Ignacio Urquiza Arquitectos, Meet the Winners of the 2022 AIA Election, Harvard GSD Introduces Its 2023 Loeb Fellowship Class, Harvard GSD Announces 2022 Wheelwright Prize Shortlist, AIA Publishes Justice Supplement to Guides for Equitable Practice, IIDA Expands 'Design Your World' Education Program to Miami, WoodWorks Names 2022 U.S. Wood Design Award Winners, Wan Bridge Secures Site for Newest Build-to-Rent Community in Greater Houston, NKBAs Residential Kitchen and Bath Market Outlook Update Forecasts Double-Digit Increase Over 2021, Existing-Home Sales Slide for Fifth Consecutive Month in June, Our Competitor Is the Status Quo: How Agorus Plans to Transform the Construction Industry, Residential Construction Starts Decline Another 2% in June, Inventory in Overvalued Housing Markets Is Rising, Decoding the Framing Square for Rafter Layout, New Tool: Metabo HPT MultiVolt Cordless Compressor, 390,000 Nonfarm Payroll Jobs Added in June. Start building on Google Cloud with $300 in free credits and 20+ always free products. We began to identify roof segments by applying image processing and edge detection on both the satellite and depth data, but we quickly realized that semantic segmentation would yield much better results, as similar edges were detected successfully with that method in research literature. Due to the difference in shape and scale of chosen classes we decided to use a separate model from the segmentation model to detect obstructions, although both models are similar in structure. To learn more about how SunPower is using the cloud, read this blog post from Google Cloud CEO Thomas Kurian. And AI Platform helped us focus on the core design problem, achieve our goals faster, and create designs quickly. The journal of the American Institute of Architects. Read on to learn how and why we built this technology for our customers, called SunPower Instant Design. Our team was able to start work on this exciting project due to advances in aerial imagery and machine learning. combines aerial 3D models from Google Maps, historical weather data, the cost
Finally, the app connects homeowners with local installers to do the workalong with, we hope, a tried-and-true site evaluationof getting the PVs on the roof. Homeowners typically spend a significant amount of time online researching solar panels and running calculations to understand their potential savings and the number of panels they need for their home. For instance, we added batch normalization to each convolutional layer for regularization and selected the Wide Residual Network as our encoder for improved accuracy. Our initial training setup was on our own servers, and the training process was slow: training a new model took a week. While we have more work to do, we are optimistic that SunPower Instant Design will transform the solar industry when our first product featuring this technology launches this summer. The Coming Renewable Energy Revolution in the Middle East, USGBCLA Reveals Lineup for 21st Annual My Green Building Conference, Why Standby Power is Imperative for Residential Healthcare, This Week in Tech: A Floating Park Made Entirely of Recycled Plastic Waste, The Acceleration of Building Sensors Networks. Hallie Busta is an associate editor of products and technology atARCHITECT. For Instant Design, we partnered with Google Project Sunroof for access to both satellite and digital surface model (DSM) data. She describes how SunPower uses AI Platform to provide users with useful models and proposals of solar panel layouts for their home, with only a street address for user input. For now, however, we'll have to wait and see where the app goes next. First, we model the roof in three dimensions to account for obstructions such as chimneys and vents. Have you ever wondered what solar panels would look like on your roof? maps google delivery special apis There are no quick answers because every roof is different and every house requires a customized design. Google knows about usiswhether our homes and businesses could benefit from the addition of solar panels. With Instant Design, we replicate this same process by leveraging tools including machine learning and optimization. What Happens After the Work is Completed? vacation After some experimentation, we chose to perform semantic segmentation, and then selected a version of a U-net that works well with our type of imagery at high speeds. Moreover, we took full advantage of the ability to train multiple models simultaneously to conduct a vast hyperparameter search. Indeed, there are more roof pixels than obstruction pixels in our images. We are changing how we offer solar power to homeowners by giving them immediate answers to their questions. How we helpDesigning a solar power system for a home is a process that relies on factors unique to each home. encounter who think that 'my roof isnt sunny enough for solar,' or 'solar is
many of them are missing out on a chance to save money and be green.. Editors Note: Todays post comes from Nour Daouk, Product Manager at SunPower. She holds a bachelor's degree in journalism from Northwestern University's Medill school and a LEED Green Associate credential. Below, well explain how we used deep neural networks to obtain accurate three-dimensional models of residential roofs. of utilities, and the value of local incentives to gauge whether covering a rooftop with photovoltaics (PVs) would result in energy-cost savings. In ablog postannouncing the project, Elkin explained why he developed the tool:Ive always been surprised at how many people I
It also offers information on purchasing or leasing the panels, as well as taking out a loan to cover the installation expenses, and the projected payback period in energy-cost savings. just too expensive. Certainly
We used our database of manually generated designs as a base for our labeled data, and projected those onto the RGB and depth channels for the training, validation, and test sets. Speed and scale via Cloud AI PlatformOnce we had built a satisfactory proof of concept, we quickly realized that we would need to iterate on our model in order to deliver an experience that was ready for homeowners. ConclusionSunPower empowers homeowners to understand the amount of energy they can generate with solar, now with just a few clicks. The online app is the project of Google engineer Carl Elkin, who previously volunteered with Solarize Massachusetts, a Boston-based solar-adoption program targeting residences and businesses. Mithun, Waggonner & Ball Architecture/Environment. sunroof solaires utile dire Our main challenge here was that we had to handle both the quantity and size of the obstructions, and address any imbalance in class representation. We needed to build a development pipeline that could quickly bring modeling ideas from conception to deployment, so we chose AI Platform to help us scale. Announced yesterday, the company'sProject Sunroof resources calculator Follow her on Twitter at@HallieBusta. A Web-based platform, Google's Project Sunroof is rolling out in three U.S. cities and regions. The data: guiding the design with both color and depth imageryIt is probably possible to design a three-dimensional model of a roof with satellite imagery alone, but design accuracy improves greatly with the use of a height map.
The app, in turn, shares a recommended solar installation size in square feet and kilowatts.
We also created a domain-specific loss function to get the model to converge to meaningful outcomes. Yetthe scale of Google's resources gives Project Sunroof a leg up in reaching the masses. Copyright 2022 Zonda Media, a Delaware corporation. At SunPower, were helping homeowners create solar designs from the comfort of their home. Hallie Busta is a former associate editor of products and technology at ARCHITECT, Architectural Lighting, and Residential Architect. Previously, she wrote about building-material sales and distribution at Hanley Wood. Architect Magazine: Architectural Design |ArchitectureOnline: The premier site for architecture industry news & building resources for architects and architecture industry professionals. The U-net architecture was a solid starting point, with a few tweaks for better results. What gets in the way: chimneys, vents, pipes, and skylightsIn an effort to avoid mistakenly placing panels on obstructions such as chimneys, vents, pipes, skylights, and previously-installed panels, our next step is to detect those obstructions as separate items on the roof.
It is currently available in the greater Boston area, Washington, D.C., Washington County, Ore., and Lo Barnachea and Vitacura, both in Chile. The tech giant isn't the first to put this type of information into consumers' hands. Mapdwell, a project from MIT's Sustainable Design Lab, for example, launched in 2013 to provide homeowners and businesses with the costs and benefits of adding PVs to a building. With SunPower Instant Design, homeowners can create their own designs in seconds, which improves their buying experience, reduces barriers to going solar, and ultimately increases solar adoption. Finally, we model the angle and exposure of sunlight hitting the roof to calculate the systems potential energy production. satellites icymi raining laundry folding tiny machine
