NDA Project
Our team developed AI-powered software from scratch that adjusts climate control in real-time. This product captures real-time footage of building occupancy using external cameras. Then, the data is forwarded to the cloud and processed by machine learning (ML) software. AI algorithms analyze the data to identify patterns in occupancy and environmental conditions. Based on the analysis, precise HVAC adjustments are made instantly through the cloud.
overview
Our client is a sustainable startup determined to transform how buildings’ conditioning systems consume energy. Together, we developed a solution: AI-driven multiplatform software that reduces energy waste through a real-time climate control tool. Devtorium is glad to contribute to global sustainability and innovative building practices.
Develop an AI-powered software that reduces air conditioning systems’ energy waste and eliminates the need for manual temperature control.
Optimize video processing and object detection costs using parallel computing.
Provide an adaptive multiplatform layout that allows seamless access to key pages such as Sign In/Up, User Profile, Location, Room List, Conditioner, Controller, and Camera across devices.
Nest JS
PostgreSQL
TypeORM
Python
React
AWS
Automatically adjusts room temperature based on occupancy and environmental conditions.
A separate application connects Raspberry Pi, AC units, and cameras into a unified system.
Optimizes climate control to enhance energy efficiency.
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We are a team of 200+ qualified software engineers, business analysts, data scientists, project managers, and UI/UX designers. All our professionals hold specialized certifications in their niches and have expertise in complex projects for a variety of industries.
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