HKAGE - E2INO002C - Server

A brief introduction of this program (for those who are interested in it)

This programme series is designed to enhance students’ knowledge and interest in Artificial Intelligence (AI) and Internet of Things (IoT) through applying design thinking process to make smart living products. Students will engage in hands-on design challenges that focus on developing empathy, encouraging ideation, developing metacognitive awareness, and fostering creative problem-solving. Throughout the programme, students will acquire skills including computer-aided design (CAD) drawing, making a prototype by using 3D printer, laser cutter, electronic circuit, and computer programming. The group design mini project is targeted to inspire students in creativity, collaboration, and design talent.

– Quoted from this PDF file

This code is written by Andy Zhang, participating in this program from Jan to Feb 2024 in Group 1.

Our project is a smart Newton's Cradle that tries to help those struggling with anxiety.

What is this?

This is the server that runs on the smart device. It exchanges signals with the client with Socket.io. The program consists of 2 files, each of them needs to be run separately.

recognition.py

This script performs recognition, as the name suggests. It reads from running.stat to determine the running mode (Face or Barcode).

The face recognition will try to derive a score based on the movement of the face. The algorithm is:

score = 0.5 / (np.std(key_points_dy_dx_mean) * 10) + 25

The barcode recognition will scan the webcam input for barcodes and append them to barcodes.stat, if they have never been recognized before.

server.py

This script performs client-server communication with Socket.io. This file handles a number of signals, mainly:

• start_face, start_face

  Starts / Stops the face detection when the music plays / stops.

• get_plans

  Gets a list of the plans to be displayed in the "Plan" dialog in the client

• save_plans

  Saves the plans configured in the "Plan" dialog

• start_barcode, stop_barcode

  Starts / Stops the barcode detection.

Get Started

To run this part of the project, you will need to:

1. Install Python
2. Install pip (if your Python installer did not add a pip command)
3. Clone the repository In the terminal window (if you are running macOS or Linux) or the Command Prompt (if you are running Windows), type:

   git clone https://github.com/ZCG-coder/e2ino002c-server.git

4. Install dependencies In the terminal window (if you are running macOS or Linux) or the Command Prompt (if you are running Windows), type:

   python3 -m pip install -r requirements.txt

5. Run the server In the terminal window (if you are running macOS or Linux) or the Command Prompt (if you are running Windows), type:

   python3 server.py

6. Run the recognition script In the terminal window (if you are running macOS or Linux) or the Command Prompt (if you are running Windows), type:

   python3 recognition.py