TESTUDO partners from Tekniker have recently published a research paper in the MDPI journal Electronics.
The paper entitled: Neural Network Implementation for Fire Detection in Critical Infrastructures: A Comparative Analysis on Embedded Edge Devices is available in the Deliverables and publications section as well as directly on the journal’s pages.
Tekniker team’s research in TESTUDO project focuses on deploying AI-based fire detection on embedded edge devices, ensuring real-time responsiveness and energy efficiency in critical scenarios.
This work underscores the importance of integrating lightweight AI models into low-power embedded systems, paving the way for more resilient and reliable critical infrastructure monitoring.
