About TrinetraX

📘 Project Overview

TrinetraX is an advanced IoT-integrated solution designed to monitor, analyze, and predict crowd behavior in real time. It ensures safe and efficient management of large gatherings at temples, events, and public areas. The system uses AI-driven YOLO detection and IoT sensors to provide instant insights.

Powered by STM32 microcontroller for sensor interfacing and Firebase Firestore for cloud connectivity, the platform visualizes real-time crowd density, environment metrics, and prediction-based alerts. YOLOv5 AI detects and counts individuals, highlighting crowd surges with early alerts for proactive action.

💡 Technology Stack

• Embedded: STM32 Microcontroller for sensor input
• AI Model: YOLOv5 for person detection
• Database: Firebase Firestore for real-time cloud sync
• Frontend: HTML, Tailwind CSS, Chart.js, JavaScript
• Communication: Wi-Fi based IoT data transfer
• Alerts: Predictive warnings based on crowd surge trends