Case Study: Smart Heating System

Photo for illustration purposes only​

In partnership with a Germany-based smart home solutions company, we designed a feature reach heating control system. The system includes a thermostat, external temperature sensors, and a central unit/hub, along with a cloud-based backend and mobile application for control and monitoring.​ 

We use an AI-powered heating algorithm to proactively heat rooms, save up to 30% of heating costs, and reduce CO2 emissions without compromising comfor

Key features

• Nordic and Zephyr RTOS based Thermostat and Thermosensor design
• Broadcom and Yocto based Central unit
• Matter-ready and multi-protocol support (Thread, Bluetooth, Zigbee)
• Proactive heating algorithms
• Cloud-edge AI architecture: AI algorithms is implemented on both edge and cloud levels
• Deep power consumption optimization and energy harvesting options
• Scalable cloud architecture and cross-platform mobile app (IOS / Android)