RESULTS​

​

• Successfully set up all sensors

Based on the designed procedure, we successfully constructed the smart home monitor system and conducted lots of experiments.

​

​

​

​

​

• Vivid Web Interface

We present the visualization of data gathered from multiple sensors with different kinds of charts in the Web based on Flask. In addition, dynamic real-time temperature data display gets realized.

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

• Message alert when gas leak happens or an unwanted break in

Whenever there is a gas leak or an unwanted break in happens, a message alert will be sent to the users to notify the condition.

​

• Successful implementation of face recognition with high accuracy

We managed to build a face recognition system using the embedded camera and a motion sensor. Once the motion sensor detects people approaching, the .py file on the Raspberry Pi will send the image capturing the people nearby to S3 invoking S3 PUT call. And then S3 put event trigger a preconfigured lambda function where we deploy our deep learning model. Once the deep learning result is out on the cloud, we will immediately send the message containing both the signal showing whether the person showing up in the front door is the owner and the web link storing the image captured.

​

​

​