Скачать или смотреть AI-Powered Discipline Monitoring System | Real-Time Movement & Noise Tracking By Aadarsh Raj

n this video, we showcase an intelligent real-time classroom monitoring system that uses computer vision and audio analysis to estimate a live discipline score.

This system combines:
✔ Webcam-based motion detection to identify moving students
✔ Microphone-based noise analysis to measure classroom loudness
✔ A dynamic scoring system that increases or decreases based on behavior
✔ A live-updating discipline graph that visualizes classroom behavior over time

🧠 What the System Does

🔹 Detects motion using background subtraction and object tracking
🔹 Monitors noise levels through live audio recording
🔹 Calculates a discipline score (0–100) in real time
🔹 Shows bounding boxes around detected movement
🔹 Plots a live discipline chart with color-changing trend lines
🔹 Provides timestamped behavior logs in the console

🎯 Use Cases

This project is ideal for:
• Classroom environment studies
• Behavior analytics research
• Smart classroom automation demos
• AI + CV + Audio integration learning projects
• Real-time monitoring prototypes

🛠️ Technologies Used

OpenCV (motion detection)

Librosa & SoundDevice (audio capture & analysis)

NumPy (data processing)

Matplotlib (real-time graphing)

Python