Mold risk detection to predict and act on environments favorable for mold growth
- Type: Air humidity, Temperature
- Application: Indoor climate, Mold detection, Predictive maintenance, PropTech
Temperature monitoring in IoT
Temperature monitoring has been one of the fundamental IoT data points to measure since the technology emerged. Reasons to monitor temperature can be for safety reasons, optimize indoor climate, or predict upcoming challenges to one’s operations.
Typical temperature monitoring use case
A typical use case can be to monitor temperature and set up scenarios to optimize indoor conditions. For example, in such a scenario, the IoT platform can automatically instruct blinds to lower themselves when the sun is directly shining into an office and raising the temperature above preferred levels.
Other applications can involve:
Data Infrastructure Management System (DiMS)
Sensative and Combain are thrilled to announce our strategic collaboration, marking a new era of AI-powered seamless indoor/outdoor geolocation solutions. The partnership will focus on creating a comprehensive solution for seamless indoor/outdoor geolocation that leverages AI algorithms and deep learning techniques.