Nomad Go Announces Computer Vision Solution to Reduce Greenhouse Gas Emissions, Developed in Microsoft and Sony’s Co-Innovation Lab
Nomad Go announced a new version of its dynamic HVAC solution using the intelligent vision sensor IMX500 commercialized by Sony Semiconductor Solutions Corporation (Sony) and Microsoft Azure AI. Developed with the support of the newly established Co-Innovation Lab operated by Microsoft and Sony, the solution is aimed at helping the real estate industry reduce CO2 emissions and energy costs by over 30% in buildings. The solution uses AI and computer vision to make buildings more sustainable, while also accelerating customers’ return on investment by reducing hardware and infrastructure costs.
Commercial buildings account for 39% of global CO2 emissions. One key reason for this is that HVAC systems in buildings are controlled by set schedules rather than by actual room occupancy. This results in long periods of heating, cooling, and ventilating empty spaces and leads to unnecessary energy expenses, decreased net asset value of buildings, and wasted CO2 emissions.
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“Nomad Go’s edge AI solution combined with Sony’s intelligent vision sensor IMX500 are expected to be an excellent match for the real estate industry’s efforts to reduce greenhouse gas emissions while lowering energy costs,” said Yuki Tsuji, Deputy General Manager, System Solution Business Development at Sony. “Our IMX500 contributes to reducing bandwidth and latency, enabling more responsive and cost-effective HVAC operations. We look forward to ushering in more meaningful business opportunities like this for our customers and development partners.”
Nomad Go’s new solution combines three vital elements necessary to replace set HVAC schedules with a dynamic solution that heats, cools, and ventilates spaces only when they are occupied:
- Nomad Go’s AI-Power HVAC uses edge computer vision to control any HVAC system on-demand based on live occupancy and provides a customer-facing dashboard to provide real-time controls and insights about usage, energy, and CO2 savings.
- Sony’s IMX500 provides AI processing on the image sensor. This results in lower bandwidth use and addresses end-user privacy by enabling metadata output instead of sending the image data itself to the cloud.
- Microsoft Azure Cognitive Services provides a scalable and adaptable computer vision service to enable large-scale, multi-building deployments of the Nomad Go solution.
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Together, they enable any owner and operator to easily deploy a scalable solution to their entire building. While traditional video analytics systems require expensive video hardware and high bandwidth costs, this solution reduces expenses across all areas to provide a faster ROI.
“The Co-Innovation Lab experience is a highly effective way to ideate, design and implement powerful edge AI solutions through an expedited development process,” noted David Greschler, CEO and co-founder of computer vision systems company Nomad Go. “Our latest deployment for commercial and multi-family buildings quantifies how our AI edge computer vision platform contributed to a reduction of carbon emissions and energy costs by over 30%. What’s more, with direct access to resources and guidance from Sony and Microsoft through the lab program, we saw more than a 50% reduction in up-front costs compared to traditional AI edge solutions available in the market.”
“With Microsoft Azure AI capabilities embedded on Sony’s intelligent vision sensor, Nomad Go will be able to offer its customers a solution that will significantly cut down on CO2 emissions from commercial buildings,” said Rashmi Misra, head of AI, mixed reality and silicon business development, Microsoft. “By leveraging these cutting-edge imaging and sensing technologies for high-speed edge AI processing, Nomad Go’s customers will be able to manage their HVAC systems much more efficiently and sustainably.”
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