Intelligent Wildfire Detection with Embedded AI | IECON 2025 Presentation скачать в хорошем качестве

Intelligent Wildfire Detection with Embedded AI | IECON 2025 Presentation

🚀 Discover how Artificial Intelligence at the Edge is revolutionizing wildfire monitoring! This video showcases the paper “Embedded AI for Intelligent Wildfire Monitoring: A Multi-Sensor and Vision-Driven Approach”, presented at IEEE IECON 2025 by João Carlos N. Bittencourt, Thommas Flores, Thiago C. Jesus, Ivanovitch Silva, and Daniel G. Costa. 🌍 Why watch this? Wildfires are one of today’s biggest environmental threats — and this project brings a low-power, multi-sensor AI system that detects fires before they spread. By combining environmental sensors with TinyML and CNN models, the system performs real-time fire detection directly on edge devices (ESP32). 💡 Key Results: 🔋 83% faster inference and 70% less memory after quantization 🔥 94% accuracy in sensor-based fire detection 📸 92% accuracy for CNN image classification ⚙️ 97% agreement rate using multi-sensor fusion 🌲 Ideal for smart forests, IoT networks, and remote monitoring 📄 IEEE Paper: 🔗 https://ieeexplore.ieee.org/document/... 📧 Contact: joaocarlos@ufrb.edu.br | thommas.flores.101@ufrn.edu.br 🔬 Research Groups: Conecta2AI (https://conect2ai.dca.ufrn.br/) LES2 🎯 Subscribe for more on TinyML, Edge AI, and embedded intelligence for environmental monitoring! 👉 Like, Comment, and Share to support open research and innovation! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Social Media Github: https://github.com/thommaskevin Instagram: https://www.instagram.com/eng.thommas... Medium:   / thommaskevin   Linkedin:   / thommas-kevin-ab9810166   CV Lattes CNPq: http://lattes.cnpq.br/0630479458408181 #EdgeAI #TinyML #FireDetection #EmbeddedAI #AIoT #SmartForests #EnvironmentalMonitoring #ESP32 #MachineLearning #DeepLearning #WildfireDetection #IECON2025 #Conecta2AI