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A research project applying machine learning and computer vision to real-time highway fire detection, safety, and emergency response.
Research reports
As a member of a research team participating in the 15th World Invention Creativity Olympics (WICO) 2026, I explored the application of machine learning and computer vision for real-time highway fire detection.
I contributed to collecting and preprocessing fire and non-fire image datasets, applying data augmentation and normalization, and developing a MobileNetV2-based CNN for binary fire classification.
I also supported the integration of an automated alert mechanism and evaluated the system based on accuracy, detection latency, and real-time usability, with the goal of improving highway safety and emergency response.
Key highlights
Research team project for the 15th World Invention Creativity Olympics (WICO) 2026.- Fire and non-fire image dataset collection and preprocessing with augmentation and normalization.
- MobileNetV2-based CNN for binary fire classification.
- Automated alerts evaluated across accuracy, detection latency, and real-time usability.