Nomad Go AI System to Reduce Carbon Emissions from Office Buildings

Main article:

• Video analytics (terms, applications, technologies)
• Computer vision (machine vision)

2021: HVAC Management Solution Presentation

On August 24, 2021, Nomad Go announced a technological solution for managing heating, ventilation and air conditioning systems in buildings. It is based on the intelligent IMX500 image sensor, implemented by Sony Semiconductor Solutions Corporation and using artificial intelligence Microsoft Azure as part of a partnership of companies. The solution is designed to help reduce carbon emissions, as well as reduce energy costs in office buildings by more than 30%.

According to a study by the UN Environment Program, commercial buildings account for 39% of global carbon dioxide emissions. One of the main reasons for this is that the heating, ventilation and air conditioning systems in them are managed according to the established schedule, and not depending on the actual workload of the premises. Long periods of heating, cooling and ventilation of empty rooms lead to unnecessary energy consumption and excessive CO2 emissions.

Nomad Go allows you to automatically determine whether people are present in the room, and if so, in what number and for how long. Thanks to computer vision and artificial intelligence, the solution quickly learns and analyzes the features of each room, for example, how much sunlight per day it usually receives or how often a crew of cleaners comes at night. Based on all this information, the solution dynamically controls heating, ventilation, and air conditioning, allowing you to optimize energy consumption in the room. The system also offers convenient visual analytics on the use of electricity and carbon dioxide emissions.

Nomad Go was able to work on its solution in one of the four Co-Innovation Lab, organized by Sony Semiconductor Solutions Corporation and Microsoft. Labs initiated through a company partnership provide independent software vendors, developers, and corporate customers with the tools, knowledge, and other resources they need to build solutions for computer vision and video analytics. Thanks to her work in the laboratory, Nomad Go received additional technical and engineering support, which allowed her to develop an idea, prototype and test the solution in close cooperation with Microsoft and Sony experts as soon as possible.