Case Studies

NDA Project

AI Climate Control Software

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

About the Client

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.

  • Back-End
  • Front-End
  • Cloud Services

Challenges

01

Develop an AI-powered software that reduces air conditioning systems’ energy waste and eliminates the need for manual temperature control.

02

Optimize video processing and object detection costs using parallel computing.

03

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.

Technologies

Back-end

Nest JS

PostgreSQL

TypeORM

Python

Front-end

React

Cloud Hosting

AWS

Solution

The developed system features an AI algorithm that adjusts HVAC settings. It detects environmental patterns based on the number of people and AC settings. Integrating YOLOv10, a real-time object detection model, also enabled users to create rooms, assign AC units, and configure cameras.
The software system includes Dynamic & Flexible Chart that allows users to set different temperatures for the Conditioner through a chart that can edit working days and hours.
We’ve implemented both Web and Mobile versions that include user authorization, sign-in functionality, and the possibility to create essential pages such as the User Profile, Location, Home, Room, Camera, and Conditioner Info.
Devtorium team developed the Product features using Gitflow operations. Deployment setup ensured smooth integration and delivery using GitHub Actions for CI/CD, environment configuration, and AWS Cloud hosting.

Results the Client Got

AI/ML Detection Algorithm

Automatically adjusts room temperature based on occupancy and environmental conditions.

Integrated Hardware Controller

A separate application connects Raspberry Pi, AC units, and cameras into a unified system.

Smart Temperature Management

Optimizes climate control to enhance energy efficiency.

Ready to develop your solution?

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