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Senior Design: Anit-Cheat Detection system


"Measure Learning":

  • Client Side Application
  • Server Side Streaming
  • UDP style streaming capabilites
  • Camara Processing Capabilities
  • Multithreading
  • MIT / Free Licencing

Behaviors:

  • Bluetooch Monitoring
  • Video Streaming
  • Mouse Analysis
  • Feature Analysis
  • Privacy Concerns (FIPPA)

Frameworks Ideas:

  • Flask
  • React
  • .NET MAUI

Analysis/Training Methods:

Scope: Monitoring features to begin with, and AI enhancements to further the focus of the models and feature. Increase accurcy and integrityare of the utmost concern.

Market Research:

Systematic Possiblities:

1. CNN-based image recognition for topology optimization 2. Support Vector Machine (SVM) for Anomaly Detection

Medium Articles:

1. A FaceNet-Style Approach to Facial Recognition on the Google Coral Development board

Datasets:

1. One-dimensional CNN for human behavior classification 2. Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions