5000+ Computer Science Projects | Degree | Diploma | MCA | BCA

Event, Travel & Ticket Booking
Reviews

Crowd Management Using IoT Sensors

Objective

To design an IoT-based Crowd Management System that uses sensors (IR, ultrasonic, camera, RFID, etc.) to monitor, detect, and manage crowd density in real-time, improving safety, efficiency, and response time in public places like malls, stations, festivals, stadiums, or emergency situations.

Key Features

Feature	Description
Real-time Crowd Monitoring	Uses IoT sensors (IR, PIR, ultrasonic, thermal, or camera) to detect people
Density Threshold Alerts	Sends alerts if crowd exceeds safe limits
Smart Entry/Exit Management	Controls gates/doors based on crowd density
Heatmap Visualization	Displays real-time density heatmaps across zones
Live Dashboard	Shows current crowd level, entry/exit counts, and alerts
Emergency Protocol Integration	Triggers alarms or evacuation protocol when threshold breached
Data Logging & Analytics	Stores past data for analysis and prediction

Technology Stack

Layer	Technologies
IoT Hardware	IR sensors, PIR sensors, Ultrasonic sensors, Thermal camera, ESP32/Raspberry Pi
Edge Device	Arduino, Raspberry Pi, or ESP32
Connectivity	Wi-Fi, LoRa, ZigBee, or MQTT
Backend Server	Node.js, Python Flask, or Spring Boot
Database	Firebase, MongoDB, or MySQL
Frontend	HTML/CSS/Bootstrap + JS, or React.js
Visualization	Chart.js, Google Maps API, or Grafana
Notification	Twilio, Firebase Notifications, Email Alerts

Workflow

Sensors are placed at entry/exit points and critical areas.
Data is continuously collected:
- Count of people entering/exiting
- Zone-wise crowd density
Edge device sends data to cloud via Wi-Fi/MQTT.
Backend processes real-time data and:
- Updates dashboard
- Checks if threshold is breached
- Sends alerts to authorities
Admin can visualize:
- Live crowd levels
- Historical trends
- High-risk zones (heatmap)