Smart Home Teaching Lab Platform Discontinued
Build an AIoT smart home system using IoT data collection, cloud big data, and AI applications.
Product overview
The Smart Home Teaching Lab Platform is designed for classroom teaching and project research. It includes a wide range of sensor components and AIoT technologies—smart home environmental monitoring, remote home care, a smart voice speaker, and smart face recognition—to simulate the scenarios a smart home requires. With theme-based lessons that progress from basic to advanced, students build system integration skills, AIoT knowledge, and hands-on techniques.
What this kit teaches
Sensing layer: smart home environmental monitoring
Access control and security monitoring (RFID and fingerprint door locks), home safety monitoring (fire/gas, temperature and humidity, air quality, current/water level), and infrared remote control.
Network and application layers
Bluetooth short-range communication and Wi-Fi long-range wireless communication; mobile app monitoring, lightweight IoT with MQTT, cloud big data dashboards, and remote home care.
AI education
Smart face recognition (OpenCV + AI, machine learning training, and identity recognition) and a smart voice speaker (natural speech recognition, voice announcements, and control).
Course topics
01 Introduction to smart homes
- The sensing, network, and application layers of the Smart Home Teaching Lab Platform
- System architecture: Arduino (secondary) + Raspberry Pi (primary)
02 Access control and security monitoring
- RFID door lock
- Fingerprint door lock
03 Home safety monitoring
- Fire/gas sensors
- Temperature/humidity monitoring
- Air quality monitoring
- Current/water level monitoring
- Infrared remote control
04 Mobile app monitoring
- Bluetooth short-range communication and Wi-Fi long-range wireless communication
- Lightweight IoT with MQTT
- Cloud big data dashboards
05 Remote home care
- Non-contact body temperature sensor
- Optical heart rate sensor
- Data sensing, logging, and real-time reporting (LINE Notify, ThingSpeak)
06 Smart face recognition
- OpenCV face detection
- AI face training
- Personal identity matching and smart access management
07 Smart voice control
- Automatic speech recognition (ASR)
- Text-to-speech (TTS): indoor temperature, humidity, and air quality announcements
- Indoor lighting control
Course topics are compiled from the CIRCUS Pi “Smart Home Teaching Lab Platform” training slides. The number of class periods depends on your school’s schedule; please contact us to plan it.
Curriculum alignment
Built for Taiwan’s 108 Curriculum Guidelines, this course covers microcomputers, interface circuit control, and IoT. The content aligns with the required course “Smart Home Monitoring Practice” and also extends to the school-based specialty courses “IoT Application Practice” and “Capstone Project.”
Contact us
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- 01Questions? Send us a message or add us on LINE.
- 02Quotes and orders, including international shipping
- 03Teacher training and professional development
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