SenseControl Smart Thermostat
Last updated
Was this helpful?
Last updated
Was this helpful?
SenseControl is a smart thermostat developed by students to provide advanced temperature regulation and interactive features. The project includes two main functions: a talking and listening thermostat and temperature regulation based on the time of day.
1. Talking and Listening Thermostat:
Voice Interaction: Users can ask Sens of Control about the weather or give temperature commands. Activation occurs when the user says the thermostat’s name.
Speech Recognition: Converts user questions into text.
Data Access: The thermostat queries an external weather database (mock database in Ailixr).
Speech Synthesis: Converts the text answer back into speech, informing the user of the weather (e.g., “It’s 21° with a lot of sun”).
2. Temperature Regulation Based on Time of Day:
Historical Data: Uses past temperature preferences to inform current settings.
User Preferences: Manually gathered data on user preferences.
Smart Home Integration: Gathers data from other smart devices, like smart home doors.
Time Awareness: Considers the current time of day.
Machine Learning Model: Combines all data sources to determine the optimal temperature.
Homeowners: Primary users who benefit from smart temperature control and voice interaction.
Smart Home Enthusiasts: Users who utilize multiple smart devices and seek integration.