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https://github.com/westandunited/kiosk-people-counter

Raspberry Pi System that tracks and counts people as they walk by the Shineman Building KIOSK.
https://github.com/westandunited/kiosk-people-counter

computer-vision facial-recognition object-tracking python statistics

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Raspberry Pi System that tracks and counts people as they walk by the Shineman Building KIOSK.

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README 

        
# Kiosk People Tracker & Counter 



## The State University of New York (SUNY) College at Oswego - CS 380 Fall 2020 Team D

### Team: Gregory Maldonado, William Bowling, Christian MarLett, Robert Netti & CJ Chiasson

### Stakeholder: Prof. Bastian Tenbergen



The goal of this project was to perform object detection and object tracking to count how many people enter and leave the Richard S. Shineman Center. This is done by detecting if a body is in the frame of the RASPI Camera, and then start recording. Once there are no more bodies detected, the Raspberry Pi sends the footage to the CS Department servers for processing. The server does the heavy lifting of accuracy tracking and counting each person captured in the frame. This data can now be analyzed used Python's MatPlotLib module.



 

The system implements facial detection and recognition. If the user registers for facial recognition on our website KIOSK-People-Counter and upload a photo, the robot will greet you as you walk by !    



# Getting Started



Hardware Required: Raspberry Pi (Preferably Pi Gen 4) 

                   RPI Camera or USB Camera 

                   A offsite computer/ server for video computation

                   

Software Required: Python 3+,

                   Raspbian ( or any debian based PI distro),

                   Offsite Computer running debian,

                   ,nohup

                   

Python Dependencies: FlaskForm, werkzeug.utils , wtforms ,request, redirect, render_template , PIL , waitress , datetime , rand , os , imagehash , glob , cv2 ,paramiko ,scp ,imutils , time , enum , face_recognition , numpy , datetime. 



Please Note depending on OS you may need system package to config specific python libaries.




# Important Step



  In : main.py , Pi_recognition.py ,and Counter.py  ALL DUMMY DIRECTORIES MUST BE CHANGED 

  

  Any usage of SCPinit must be changed to your RSA'd username to your host,and your host must point to your host!




# Setup of Raspberry PI and Server



  Now that you have all hardware and Software Requirments.

  

   Setting up Raspberry Pi 

  

  

  Step 1) Place Pi in well lit area where you woud like it to count vistors.

  

  Step 2) Power Pi and Connect to network

  

  Step 3) Set up RSA key between Pi and the Server

  

  Step 4) Replace host in SCPInit functions to point at your host, along with the user name your have an RSA key set up with.

  

  Step 5) Replace Directory pointers with your own Directories

  

  Step 6) Nohup Run Pi_recognition.py  ( on Pi )

  

  

  

   Setting up Website and Server 

  

  

  Step 1) Replace values in main.py with your host and user name.

  

  Step 2) Choose a port to host the server off of

  

  Step 3) Replace Directory pointers with your own Directories

  

  Step 4) Replace Secret Key with a Hash of your liking.



  Step 5) Setup A Gmail account and import into credentials.txt

 

  Step 6) Nohup Run main.py  and Counter.py ( on Server )