AI Thermal Cameras
Real-Time Public Health and Safety Monitoring
Project Overview
The Challenge: Ensuring public health and safety in crowded environments, especially during health crises, has become a critical priority. Traditional systems often struggle to provide real-time insights, leaving critical gaps in monitoring and response. This project aims to address these challenges with an AI-powered thermal camera system.
Our Solution: The AI Thermal Camera system integrates advanced thermal imaging technology and machine learning algorithms to provide a real-time solution for detecting elevated body temperatures and monitoring crowd density. This system allows for dynamic health advisories, real-time alerts, and advanced crowd management in environments such as airports, hospitals, and large public venues.
Key Benefits: By automating temperature checks, monitoring crowd flow, and providing actionable insights, this system ensures better public health management, enhances safety, and prevents overcrowding. It plays a vital role in high-traffic environments and critical facilities during emergencies, such as the COVID-19 pandemic.
Technologies Used
- Python: The core programming language for real-time data processing and implementing system logic.
- YOLOv5: AI model used for real-time people detection and tracking in dynamic environments.
- SORT: An algorithm used to track and manage multiple individuals detected across video frames.
- Tesseract OCR: Optical Character Recognition technology used for extracting temperature data from thermal video feeds.
Project Features
- Real-Time People Detection & Tracking: Accurately tracks individuals in high-density crowds for health monitoring and safety management using YOLOv5 and SORT.
- Temperature Monitoring and Alerts: Automatically detects elevated body temperatures and triggers real-time alerts, helping identify health risks such as fever.
- Dynamic Health Messaging: Displays health advisories and safety instructions on digital signboards based on real-time temperature and crowd data, improving public safety.
- Advanced Occupancy Management: Monitors crowd density in real-time and dynamically adjusts occupancy limits to prevent overcrowding in sensitive environments like hospitals, airports, and event venues.
Project Screenshots
Real-Time Temperature and Crowd Detection
Thermal Data with Health Safety Messaging
Basic Architecture of the System