Verified email-pattern data for Firesense - Multimodal Ai Research For Fire Prevention And Detection is currently limited. You can still use the company insights and contact sections below.
FireSense is a multidisciplinary research group based at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT), focused on advancing fire prevention and detection through cutting-edge machine learning, computer vision, and AI-enhanced sensor technologies.
Our scientific mission is to develop multimodal systems that integrate data from thermal, gas, optical, and environmental sensors with real-time computer vision and deep learning algorithms to accurately detect, predict, and respond to fire hazards in diverse environments.
We work at the intersection of AI, robotics, IoT, and environmental monitoring to build intelligent, autonomous systems for early fire warning, risk assessment, and situational awareness—empowering smarter cities, safer infrastructure, and more resilient ecosystems.
Key Research Areas:
• Fire detection and segmentation using deep neural networks
• Sensor fusion for anomaly detection and environmental monitoring
• Real-time edge computing and AIoT systems
• Robotics for fire response support
• Simulation and modeling of fire propagation
Join us in shaping a safer future through intelligent fire risk management.
Company Details
- Founded
- -
- Address
- Cara Hadrijana 10b, Osijek,osijek-Baranja 31000,croatia
- Industry
- Research Services
- Website
- https://firebot.ferit.hr
- Keywords
- Osijek.
- HQ
- Osijek, Osijek-Baranja
Firesense - Multimodal Ai Research For Fire Prevention And Detection Questions
FireSense - Multimodal AI Research for Fire Prevention and Detection's website is https://firebot.ferit.hr
FireSense - Multimodal AI Research for Fire Prevention and Detection's LinkedIn profile is https://hr.linkedin.com/company/ferit-firesense
FireSense - Multimodal AI Research for Fire Prevention and Detection's industry is
Research Services
FireSense - Multimodal AI Research for Fire Prevention and Detection's top competitors are
Equipro Fire Protection,
Dunicom,
Avyonx,
Cuav, Uav & Robotics Show Europe,
Euroavia Zagreb,
Cuav Ltd,
Osijek Drone Expo,
Turin Robot Adria - Napredna Robotska Rješenja,
Ultrafog Fire Extinguishing Sl,
Concept Gas Fire Suppression Ltd.
FireSense - Multimodal AI Research for Fire Prevention and Detection's categories are Research Services
FireSense - Multimodal AI Research for Fire Prevention and Detection's founding year is 2020
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