Code used to obtain data from different sensors, combine them using simple data fusion methods and predict if a person is neither detected or not using a ML Algorithm called Logistic Regression. If a detection is predicted, the process will analyze if the person has permission rights to be in that room and generate an alarm if not. Finally, if will store in a database the logs of each detection.

• data. Contains the CSV files (currently in progress) to train the Logistic Regression Model.
• datafusion. Contains functions and data structures for different data fusion steps:
  • collect_data.go. All the related structures and functions to collect data from the different sensors.
  • joined_data.go. All the related structures and functions to join the array of data collected from each sensor. Obtaining a single entry for each sensor
  • fusion_data.go. All the related structures and functions to join the data of each sensor. Obtaining an array of entries (one for each different person detected).
• sensor. Auxiliar code to generate random data from each sensor.
• tracker. Contains a function that will check the permission rights of one person to be in a defined room, generate alarms if needed and store logs in a database.

• Machine Learning Algorithm. Using my personal repo: ml_regression_tracking
• MQTT Broker. In this project I use Mosquitto. You can follow the instructions in here to download and secure it. If an error occurs when running the code saying that it's not possible to connect to the broker. Execute this in the terminal:

sudo systemctl stop mosquitto.service  // To stop the mosquitto service which is not working properly
mosquitto -p 1883 -v // To execute the broker manually on port 1883 with the verbose flag activated

Terminal 1

git clone https://github.com/ivangonzalezacuna/datafusion_collect_transform_data.git
cd datafusion_collect_transform_data
go build -v
./mainprocess

Now, open other 2 terminals in the same directory. And execute these lines:

Terminal 2

cd ~/datafusion_collect_transform_data/sensor
go build sensor.go
./sensor

Terminal 3

cd ~/datafusion_collect_transform_data/tracker
go build tracker.go
./tracker