Project Overview

Achieving 99.2% accuarcy with facial detection!

Team

Rohan Dalal, Lukas Dimitroff, Akpandu Ekezie, Linnea Funari, Ashley Jang, Jefferson Lin, Shivam Maheshwari, Anshi Paul, Aadhavan Raja Nainar, Srishti Swaminathan, Andrew Xia, Hanning Yan, Joshua Yuen

Faculty Advisor: Mr. Andrew McGuier
Teaching Assistants: Ogechi Anyamele, Trinity Patterson, Sophia Zhu

I primarily contributed to the mmWave module and schematics.

About the Code

The file spy_mmtest.py contains test cases for command control sensing and receiving data, specifically for mmWave human detection. Additional commands can be added manually using hexadecimal definitions. To implement new commands, define a function for the desired command following the existing structure.

For more details, refer to the mmwaves_sensor directory.

Additional Resources

• Kinect Recording Code:
  https://github.com/li-pearl/kinectv1-skeleton-recorder

• Machine Learning Code:
  https://github.com/shivmaheshwari/HideAndSeek

• Infrared Vision (Thermal) Code:
  https://github.com/li-pearl/pgss-thermal

Project Materials

• Presentation Slides:
  Canva Presentation

• Project Paper (Viewing Only):
  OneDrive Document

The paper is published at Governor's School.