An LED is enough sometimes

Deployed overview in the cloud: heroku link

The purpose is to build a framework that easily allows anybody to make their shop smarter than usual. With the help of sensors and actuators we want customers to have a better experience in your shop. Therefor we want for example to change the color of the light or the temperature in the shop if specific customer groups enter it.

The code inside of sensor/protocol is supposed to run on an arduino where several sensors are attached.

The code in the folder bridge is supposed to run on e.g. a raspberry pi which then is able to send messages to via http to a cloud.

Start the bridge via python -m bridge from the current folder.

The Gender and Age Detection is based on the project Gender and Age Prediction based Customer Tracking Classification on Raspberry Pi. You can start the Prediction using: PYTHONPATH=absolute/path/to/IOT/bridge python3 Detect.py.

The code in the folder cloud is supposed to run somewhere reachable via http. It stores values and computes predictions for the actuators on the arduino based on the data stored in the database.

The cloud part can be run locally using flask run from the cloud folder. flask init initializes the database and flask migrate will make you able to make migrations. Afterwards you can reach the running cloud via http:https://127.0.0.1:5000/.

• For being able to detect age and gender of customers entering our shop we used https://github.com/afaq-ahmad/Gender-and-Age-Detection-based-Customer-Tracking-Classification-on-Raspberry-pi since we want to use it in edge-computing on a raspberry pi later