Many Wireless sensors and actuators are communicating to GR Lychee using NRF24L01 Transceiver connected to GR Lychee using SPI protocol. The data of sensors are sent to Amazon AWS Server using WiFi by GR Lychee, where AI algorithm used to efficiently trigger Light/Fan/AC based on training data and reduce overall power consumption of the home. Further Android App can trigger the actuators manually too and all sensor data are displayed in mobile app in realtime.
Here is video of our earlier prototype of similar system designed using Mediatek Linkit 7688 with limited functions,
https://www.youtube.com/watch?v=kT-94-ZrmH0
Each Wireless Sensor nodes with NRF24L01 includes one of the following sensor with MSP430 microcontroller running optimized in low power mode. Each Sensor node powered by tiny 6V 10mA solar panel that charges Lithium battery using normal light in the room, our calculation shows that 20 minute of normal room light falling on solar panel is enough to run sensor node for 10 days with 100 wireless transaction per day.

Sensors:
1.    Piezo Glass Breaking sensor to detect the glass break
2.    reed switch based magnetic door open/close sensor
3.    DHT 11 temperature and humidity sensor.
4.    LDR based light Intensity Sensor. 
5.    PIR Motion Sensor.

Actuators:
1.    Buzzer to alert person in home.
2.    Relay module to turn on/off appliances.

We have designed energy efficient IoT based home automation system for future smart home using GR Lychee. GR Lychee will be heart of the project, it is connected to internet via Wi-Fi connection using ESP32 onboard. Camera connected to GR Lychee detects any motion using motion detection OpenCV algorithm running on GR Lychee and captures image when motion detected and send it to the android app running on user mobile via internet over Wi-Fi using MQTT Protocol. Also user can capture and receive image of the home by Android App via internet.
Many Wireless sensors and actuators are communicating to GR Lychee using NRF24L01 Transceiver and enOcean energy harvesting Transceiver connected to GR Lychee using SPI protocol and UART Protocol. The data of sensors are sent to Amazon AWS Server using WiFi by GR Lychee, where AI algorithm used to efficiently trigger Light/Fan/AC based on training data and reduce overall power consumption of the home. Further Android App can trigger the actuators manually too and all sensor data are
displayed in mobile app in realtime.
GR Lychee Code and Android App Apk with Source codes are attached here.

Detail document:

/edDir/files/smart_home.pdf

Source:

/edDir/files/GR_Smarthome_Codes.zip