Micro-service (Flask): REST End-points; Handles the interaction between the User and the Smart Door; Also, Verifies and validates the service registration

SmartLock (Raspberry Pi 3, PiCam, OpenCV): API Requests to send (status and camera's images data) and receive (remote operations) ; Facial Recognition with OpenCV; Circuit Lock control

User Client App (Flutter): Remote control; Streaming viewer service; Event notification

Microservice (Local computer or cloud service):

1. install requirements (using requirements.txt and python) or just install manually the required packages

2. run the application: python3 main.py

Facial Recogn App (Raspberry Pi 3 B+):

1. install requirements (requirements.yml)

2. run python3 camDetect.py to collect images (dataset). The default user is "Bruno".You can import the Detection object from camDetect.py and run it in your python console.

       ''' example ''' 
       
       a=Detection()                       
       a.parse_data()                      #if dataset folder exists will collect info 
   
       a.capture("Bruno",5, nclips=60)     #name is "Bruno", ID=5 and number of captures is 60 
   
   

3. run python3 faceRecog.py to train and for image classification

If you notice, the faceRecog.py is responsable to classify the capture, sending resquests to the microservice and opening the door. In this version, the door is simulated with a LED circuit connected to GPIO 17 (Uncomment and try it). The service should the registered at the microservice,this means if the service_id does not exists in your microservice, the raspberry pi will not receive/send requests.